Selected Publications Since 2000

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Description: Description: http://www.cs.uiuc.edu/%7Ehanj/pubs/kdd_files/blue.gifSelected Publications Since 2000
Description: Description: http://www.cs.uiuc.edu/%7Ehanj/pubs/kdd_files/green.gifSelected Publications Before 2000

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2011

1.      Peixiang Zhao, Xiaolei Li, Dong Xin, and Jiawei Han, “Graph Cube: On Warehousing and OLAP Multidimensional Networks”, Proc. of 2011 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'11), Athens, Greece, June 2011

2.      Bolin Ding, Marianne Winslett, Jiawei Han, and Zhenhui Li, “Differentially Private Data Cube: Optimizing Noise Source and Consistency”, Proc. of 2011 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'11), Athens, Greece, June 2011

3.      Tim Weninger, Marina Danilevsky, Fabio Fumarola, Joshua Hailpern, Jiawei Han, Ming Ji, Thomas J. Johnston, Surya Kallumadi, Hyungsul Kim, Zhijin Li, David McCloskey, Yizhou Sun, Nathan E. TeGrotenhuis, Chi Wang, and Xiao Yu, “WinaCS: Construction and Analysis of Web-Based Computer Science Information Networks", Proc. of 2011 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'11), (system demo paper), Athens, Greece, June 2011.

4.      J. Hailpern, M. Danilevsky, A. Harris, K. Karahalios, K., G. Dell, and J. Hengst. “ACES: Promoting Empathy Towards Aphasia Through Language Distortion Emulation Software.” The Proceedings of CHI 2011, Vancouver BC, May 2011.

1.      Latifur Khan, Wei Fan, Jiawei Han, Jing Gao, Mohammad Mehedy Masud, “Data Stream Mining: Challenges and Techniques”, (tutorial), The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2011), Shenzhen, China, May 2011

2.      Hossein Ahmadi, Tarek Abdelzaher, Jiawei Han, Raghu K. Ganti, and Nam Pham, “On Reliable Modeling of Open Cyber-physical Systems and its Application to Green Transportation”, Proc. of 2011 ACM/IEEE Int. Conf. on Cyber-Physical Systems (ICCPS'11), Chicago, IL, Apr. 2011

3.      Zhijun Yin, Liangliang Cao, Jiawei Han, Jiebo Luo, and Thomas Huang, “Diversified Trajectory Pattern Ranking in Geo-tagged Social Media”, Proc. of 2011 SIAM Conf. on Data Mining (SDM'11), Phoenix, AZ, Apr. 2011.

4.      Hyungsul Kim, Manish Marwah, Martin Arlitt, Geoff Lyon, and Jiawei Han, “Unsupervised Disaggregation of Low Frequency Power Measurements”, Proc. of 2011 SIAM Conf. on Data Mining (SDM'11), Phoenix, AZ, Apr. 2011

5.      David Lo, Bolin Ding, Lucia, and Jiawei Han, "Bidirectional Mining of Non-Redundant Recurrent Rules from a Sequence Database" Proc. of 2011 Int. Conf. on Data Engineering (ICDE'10), Hannover, Germany, Apr. 2011.

6.      Qiang Qu, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, and Hongyan Li, “Efficient Topological OLAP on Information Networks", Proc. of 2011 Int. Conf. on Database Systems for Advanced Applications (DASFAA'10), Hong Kong, Apr. 2011

7.      Jing Gao, Wei Fan, Deepak S. Turaga, Olivier Verscheure, Xiaoqiao Meng, Lu Su, Jiawei Han, "Consensus Extraction from Heterogeneous Detectors to Improve Performance over Network Traffic Anomaly Detection”, Proc. of 2011 IEEE INFOCOM Mini-Conf. (INFOCOM-Mini'10), Shanghai, China, Apr. 2011.

8.      Zhijun Yin, Liangliang Cao, Jiawei Han, Chengxiang Zhai, and Thomas Huang, “Geographical Topic Discovery and Comparison”, Proc. of 2011 Int. World Wide Web Conf. (WWW'11), Hyderabad, India, Mar. 2011 (Full paper).

9.      Tim Weninger, Fabio Fumarola, Cindy Xide Lin, Rick Barber, Jiawei Han, and Donato Malerba, “Growing Parallel Paths for Entity-Page Discovery”, Proc. of 2011 Int. World Wide Web Conf. (WWW'11), Hyderabad, India, Mar. 2011 (Poster paper)

10.  Fabio Fumarola, Rick Barber, Tim Weninger, Donato Malerba, and Jiawei Han, “HyLiEn: A Hybrid Approach to General List Extraction on the Web”, Proc. of 2011 Int. World Wide Web Conf. (WWW'11), Hyderabad, India, Mar. 2011 (Poster paper)

11.  Manish Gupta, Yizhou Sun, and Jiawei Han, “Trust Analysis with Clustering", Proc. of 2011 Int. World Wide Web Conf. (WWW'11), Hyderabad, India, March 2011 (Poster paper)

12.  Fabio Fumarola, Tim Weninger, Rick Barber, Donato Malerba, and Jiawei Han, “Extracting General Lists from Web Documents: A Hybrid Approach”, Int. Conf. on Industrial, Eng. and Other Applications of Applied Intel. Sys. (IEA/AIE'11), Syracuse, New York, USA, Mar. 2011. 

13.  Bolin Ding and Arnd Christian Konig, “Fast Set Intersection in Memory”, accepted by PVLDB: 2011.

14.  Jie Yu, Xin Jin, Jiawei Han, Jiebo Luo, "Collection-based Sparse Label Propagation and Its Application on Social Group Suggestion from Photos", ACM Transactions on Intelligent Systems and Technology (TIST), 2(2), 2011.

15.  Xiaofei He, Ming Ji, Chiyuan Zhang, and Hujun Bao. A Variance Minimization Criterion to Feature Selection using Laplacian Regularization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011. To appear.

2010

1.      Tim Weninger, Fabio Fumarola, Rick Barber, Jiawei Han, Donato Malerba, “Unexpected Results in Automatic List Extraction on the Web”, SIGKDD Explorations, 12(2), Dec. 2010. 

2.      Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, Chengxiang Zhai, Ashok Srivastava, Nikunj C. Oza, “Efficient Keyword-Based Search for Top-K Cells in Text Cube", IEEE Transactions on Knowledge and Data Engineering (TKDE) (Special Issue: Keyword Search on Structured Data)}, accepted, Dec. 2010.

3.      Xin Jin, Sangkyum Kim, Jiawei Han, Liangliang Cao, and Zhijun Yin, “A General Framework for Efficient Clustering of Large Datasets based on Activity Detection”, Statistical Analysis and Data Mining, accepted Sept. 2010.

4.      Manish Gupta, Rui Li, Zhijun Yin, and Jiawei Han, “Survey on Social Tagging Techniques", SIGKDD Explorations, 12(1):58-72, 2010.

5.      Zhenhui Li, Jiawei Han, Ming Ji, Lu-An Tang, Yintao Yu, Bolin Ding, Jae-Gil Lee, and Roland Kays, “MoveMine: Mining Moving Object Data for Discovery of Animal Movement Patterns”, ACM Transactions on Intelligent Systems and Technology (ACM-TIST) (Special Issue on Computational Sustainability), accepted Aug. 2010.

6.      Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, Peixiang Zhao, and Boqin Feng, “gSkeleton-Clu: Density-based Network Clustering via Structure-Connected Tree Division or Agglomeration”, Proc. of 2010 Int. Conf. on Data Mining (ICDM'10), Sydney, Australia, Dec. 2010.

  1. Lu-An Tang, Xiao Yu, Sangkyum Kim, Jiawei Han, Chih-Chieh Hung, and Wen-Chih Peng, “Tru-Alarm: Trustworthiness Analysis of Sensor Networks in Cyber-Physical Systems”, Proc. of 2010 Int. Conf. on Data Mining (ICDM'10), Sydney, Australia, Dec. 2010. 

8.      Mohammad Masud, Qing Chen, Latifur Khan, Charu Aggarwal, Jing Gao, Jiawei Han, and Bhavani Thuraisingham, “Addressing Concept-Evolution in Concept-Drifting Data Streams”, Proc. of 2010 Int. Conf. on Data Mining (ICDM'10), Sydney, Australia, Dec. 2010.

9.      Bolin Ding, Yintao Yu, Bo Zhao, Cindy Xide Lin, Jiawei Han, and Chengxiang Zhai, “Keyword Search in Text Cube: Finding Top-K Aggregated Cell Documents ”, Proc. of 2010 NASA Conference on Intelligent Data Understanding (CIDU2010), Mountain View, CA, Oct. 2010.

10.  Bo Zhao, Cindy X. Lin, Ashok N. Srivastava, Nikunj C. Oza, and Jiawei Han, “Correlated Topics in a Scalable Multidimensional Text Cube: Algorithms and Aviation Safety Case Study”, (extend abstract and poster paper), Proc. of 2010 NASA Conference on Intelligent Data Understanding (CIDU2010), Mountain View, CA, Oct. 2010.

11.  Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, Yizhou Sun, and Yaguang Liu, “SHRINK: A Structural Clustering Algorithm for Detecting Hierarchical Communities in Networks", Proc. 2010 ACM Int. Conf. on Information and Knowledge Management (CIKM'10), Toronto, Canada, Oct. 2010.

  1. Xin Jin, Jiawei Han, Liangliang Cao, Jiebo Luo, Bolin Ding, Cindy Xide Lin, “Visual Cube and On-Line Analytical Processing of Images", Proc. 2010 ACM Int. Conf. on Information and Knowledge Management (CIKM'10), Toronto, Canada, Oct. 2010.
  2. Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, Shiqiang Yang, “Mining Topic-Level Influence in Heterogeneous Networks",  Proc. 2010 ACM Int. Conf. on Information and Knowledge Management (CIKM'10), Toronto, Canada, Oct. 2010.

14.  Tim Weninger, Fabio Fumarola, Jiawei Han, Donato Malerba, “Mapping Web Pages to Database Records via Link Paths", Proc. 2010 ACM Int. Conf. on Information and Knowledge Management (CIKM'10), Toronto, Canada, Oct. 2010.

  1. Xin Jin, Andrew Gallagher, Liangliang Cao, Jiebo Luo, and Jiawei Han, “The Wisdom of Social Multimedia: Using Flickr for Prediction and Forecast", Proc. 2010 ACM Multimedia Int. Conf. (ACM-Multimedia’10), Florence, Italy, Oct. 2010
  2. Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, and Jing Gao, “Graph Regularized Transductive Classification on Heterogeneous Information Networks", Proc. 2010 European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'10), Barcelona, Spain, Sept. 2010.

17.  Hyung Sul Kim, Sangkyum Kim, Tim Weninger, Jiawei Han, and Tarek Abdelzaher, “NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification", Proc. 2010 European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'10), Barcelona, Spain, Sept. 2010.

18.  Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Khan, Jiawei Han, and Bhavani Thuraisingham, “Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space", Proc. 2010 European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'10), Barcelona, Spain, Sept. 2010.

  1. Zhenhui Li, Bolin Ding, Jiawei Han, and Roland Kays, “Swarm: Mining Relaxed Temporal Moving Object Clusters", Proc. 2010 Int. Conf. on Very Large Data Bases (VLDB'10), Singapore, Sept. 2010.
  2. Peixiang Zhao and Jiawei Han, “On Graph Query Optimization in Large Networks", Proc. 2010 Int. Conf. on Very Large Data Bases (VLDB'10), Singapore, Sept. 2010.
  3. Zhijun Yin, Manish Gupta, Tim Weninger, and Jiawei Han, “A Unified Framework for Link Recommendation Using Random Walks", Proc. 2010 Int. Conf. on Advances in Social Networks Analysis and Mining (ASONAM'10), Odense, Denmark, Aug. 2010.
  4. Sangkyum Kim, Xin Jin, and Jiawei Han, “DisIClass: Discriminative Frequent Pattern-Based Image Classification", in Proc. 2010 KDD Workshop on Multimedia Data Mining (MDM'10), Washington, D.C., July 2010.

23.  Jiawei Han, “Mining Useful Patterns: An Evolutionary View", (Keynote Speech), in 2010 SIGKDD workshop on Useful Patterns (UP'10), Washington D.C., July 2010.

24.  Yizhou Sun, Jie Tang, Jiawei Han, Manish Gupta, and Bo Zhao, “Community Evolution Detection in Dynamic Heterogeneous Information Networks", in Proc. 2010 KDD Workshop on Mining and Learning with Graphs (MLG'10), Washington D.C., July 2010.

  1. Tim Weninger, Surya Ramachandran, Daniel Greene, Jack Hart, Anand Kancherlapalli, William H. Hsu, and Jiawei Han, “Speech-Assisted Radiology System for Retrieval, Reporting and Annotation", Proc. 2010 ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD'10), (demo paper), Washington D.C., July 2010.
  2. Jing Gao, Feng Liang,Wei Fan, Chi Wang, Yizhou Sun, and Jiawei Han, “Community Outliers and their Efficient Detection in Information Networks", Proc. 2010 ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD'10), Washington D.C., July 2010.
  3. Zhenhui Li, Bolin Ding, Jiawei Han, Roland Kays, and Peter Nye, “Mining Periodic Behaviors for Moving Objects", Proc. 2010 ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD'10), Washington D.C., July 2010.

28.  Cindy Xide Lin, Bo Zhao, Qiaozhu Mei, and Jiawei Han, “A Statistical Model for Popular Event Tracking in Social Communities", Proc. 2010 ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD'10), Washington D.C., July 2010.

29.  Chi Wang, Jiawei Han, Yuntao Jia, Jie Tang, Duo Zhang, Yintao Yu, and Jingyi Guo, “Mining Advisor-Advisee Relationships from Research Publication Networks", Proc. 2010 ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD'10), Washington D.C., July 2010.

  1. Jiawei Han, Yizhou Sun, Xifeng Yan, and Philip S. Yu, “Mining Heterogeneous Information Networks", Tutorial at the 2010 ACM SIGKDD Conf. on Knowledge Discovery and Data Mining (KDD'10), Washington, D.C., July 2010.
  2. Zhenhui Li, Ming Ji, Jae-Gil Lee, LuAn Tang, Yintao Yu, Jiawei Han, and Roland Kays, “MoveMine: Mining Moving Object Databases" (system demo), Proc. 2010 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'10), Indianapolis, Indiana, June 2010.

32.  Jiawei Han, Yizhou Sun,  Xifeng Yan,  and Philip S. Yu, “Mining Knowledge from Databases: An Information Network Analysis Approach" (tutorial), Proc. 2010 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'10), Indianapolis, Indiana, June 2010. (Slides)

  1. Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, and Bhavani Thuraisingham, “Classification and Novel Class Detection in Data Streams with Active Mining", Proc. 2010 Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'10), Hyderabad, India, June 2010.

34.  Cindy Xide Lin, Yintao Yu, Jiawei Han, and Bing Liu, “Hierarchical Clustering of Webpages via Cross-Page and In-Page Link Structures", Proc. 2010 Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'10), Hyderabad, India, June 2010.

  1. Jing Gao, Wei Fan, and Jiawei Han, “On the Power of Ensemble: Supervised and Unsupervised Methods Reconciled", Tutorial at 2010 SIAM Data Mining Conf. (SDM'10), Columbus, Ohio, May 2010.
  2. Jiawei Han, “Data Mining: Dynamic Past and Promising Future", Panel Talk at 2010 SIAM Data Mining Conf. (SDM'10), Columbus, Ohio, April 2010.

37.  Mohammad Maifi Hasan Khan, Hieu K. Le, Michael LeMay, Parya Moinzadeh, Lili Wang, Yong Yang, Dong K. Noh, Tarek Abdelzaher, Carl A. Gunter, Jiawei Han, Xin Jin, “Diagnostic Powertracing for Sensor Node Failure Analysis", Proc. 2010 Int. Conf. on Information Processing in Sensor Networks (IPSN'10), Stockholm, Sweden, April, 2010.

38.  Xin Jin, Scott Spangler, Rui Ma, and Jiawei Han, “Topic Initiator Detection on the World Wide Web”, Proc. 2010 Int. World Wide Web Conf. (WWW’10), Raleigh, NC, April 2010.

39.  Tim Weninger, William H. Hsu, and Jiawei Han, “CETR Content Extraction via Tag Ratios”, Proc. 2010 Int. World Wide Web Conf. (WWW’10), Raleigh, NC, April 2010.

40.  Xin Jin, Jiebo Luo, Jie Yu, Gang Wang, Dhiraj Joshi, and Jiawei Han, “iRIN: Image Retrieval in Image Rich Information Networks", Proc. 2010 Int. World Wide Web Conf. (WWW'10), Raleigh, NC, April 2010. (demo paper)

41.  Zhenhui Li, Ding Zhou, YunFang Juan, and Jiawei Han, “Keyword Extraction for Social Snippets”, Proc. 2010 Int. World Wide Web Conf. (WWW’10), Raleigh, NC, April 2010. (poster paper)

42.  Liangliang Cao, Andrey Del Pozo, Xin Jin, Jiebo Luo, Jiawei Han, and Thomas S. Huang, “RankCompete: Simultaneous Ranking and Clustering of Web Photos”, Proc. 2010 Int. World Wide Web Conf. (WWW’10), Raleigh, NC, April 2010. (poster paper)

43.  Cindy Xide Lin, Bo Zhao, Tim Weninger, Jiawei Han, and Bing Liu, “Entity Relation Discovery from Web Tables and Links", Proc. 2010 Int. World Wide Web Conf. (WWW’10), Raleigh, NC, April 2010. (poster paper)

44.  Zhijun Yin, Manish Gupta, Tim Weninger and Jiawei Han, “LINKREC: A Unified Framework for Link Recommendation with User Attributes and Graph Structure”, Proc. 2010 Int. World Wide Web Conf. (WWW’10), Raleigh, NC, April 2010. (poster paper)

45.  Jie Yu, Xin Jin, Jiawei Han, and Jiebo Luo, “Social Group Suggestion from User Image Collections”, Proc. 2010 Int. World Wide Web Conf. (WWW’10), Raleigh, NC, April 2010. (poster paper)

46.  Liangliang Cao, Jiebo Luo, Andrew Gallagher, Xin Jin, Jiawei Han, and Thomas S. Huang, “A Worldwide Tourism Recommendation System Based on Geotagged Web Photos”, Proc. 2010 Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP’10), Dallas, TX, March 2010.

47.  Jiawei Han, Zhenhui Li, and Lu An Tang, “Mining Moving Object and Traffic Data", Proc. 2010 Int. Conf. on Database Systems for Advanced Applications (DASFAA'10), (Conference Tutorial), Tsukuba, Japan, April 2010.

48.  Zhenhui Li, Jae-Gil Lee, Xiaolei Li, and Jiawei Han, “Incremental Clustering for Trajectories", Proc. 2010 Int. Conf. on Database Systems for Advanced Applications (DASFAA'10), Tsukuba, Japan, April 2010.

49.  Lu Liu, Feida Zhu, Chen Chen, Xifeng Yan, Jiawei Han, Philip Yu, and Shiqiang Yang, “Mining Diversity on Networks", Proc. 2010 Int. Conf. on Database Systems for Advanced Applications (DASFAA'10), Tsukuba, Japan, April 2010.

50.  Cuiping Li, Jiawei Han, Xin Jin, Yizhou Sun, Yintao Yu, and Tianyi Wu, “Fast Computation of SimRank for Static and Dynamic Information Networks”, Proc. 2010 Int. Conf. on Extending Data Base Technology (EDBT'10), Lausanne, Switzerland, March 2010.

51.  Tianyi Wu, Yizhou Sun, Cuiping Li, and Jiawei Han, “Region-based Online Promotion Analysis", Proc. 2010 Int. Conf. on Extending Data Base Technology (EDBT'10), Lausanne, Switzerland, March 2010.

52.  Hyun Duk Kim, ChengXiang Zhai and Jiawei Han, “Aggregation of Multiple Judgments for Evaluating Ordered Lists", Proc. 2010 European Conf. on Information Retrieval (ECIR'10), Milton Keynes, UK, March 2010.

53.  Dustin Bortner and Jiawei Han, "Progressive Clustering of Networks Using Structure-Connected Order of Traversal", Proc. 2010 Int. Conf. on Data Engineering (ICDE'10), Long Beach, CA, March 2010.

54.  Bolin Ding, Bo Zhao, Cindy Xide Lin, Jiawei Han, Chengxiang Zhai, "TopCells: Keyword-Based Search of Top-k Aggregated Documents in Text Cube", Proc. 2010 Int. Conf. on Data Engineering (ICDE'10), Long Beach, CA, March 2010.

55.  Xifeng Yan, Bin He, Feida Zhu, Jiawei Han, "Top-K Aggregation Queries Over Large Networks", Proc. 2010 Int. Conf. on Data Engineering (ICDE'10), Long Beach, CA, March 2010.

56.  Lu Liu, Feida Zhu, Meng Jiang, Jiawei Han, Lifeng Sun, and Shiqiang Yang, “Mining diversity on social media networks”, Multimedia Tools and Applications, accepted, 2010.

57.  Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, and Bhavani Thuraisingham, “Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints”, IEEE Transactions on Knowledge and Data Engineering, accepted Feb. 2010.

58.  Deng Cai, Xiaofei He, and Jiawei Han, “Locally Consistent Concept Factorization for Document Clustering”, IEEE Transactions on Knowledge and Data Engineering, 22, 2010, accepted 14-Jan-2010.

59.  Charu C. Aggarwal, Chen Chen and Jiawei Han, “The Inverse Classification Problem”, Journal of Computer Science and Technology, accepted, Dec. 2009.

60.  Hector Gonzalez, Jiawei Han, Hong Cheng, Xiaolei Li, Diego Klabjan, and Tianyi Wu, “Modeling Massive RFID Datasets: A Gateway-Based Movement-Graph Approach”, IEEE Transactions on Knowledge and Data Engineering, 22(1):90-104, 2010.

61.  Tianyi Wu, Yuguo Chen, and Jiawei Han, “Re-Examination of Interestingness Measures in Pattern Mining: A Unified Framework", Data Mining and Knowledge Discovery, 21(3):371-397, DOI: 10.1007/s10618-009-0161-2 Jan. 2010.

2009

  1. Yizhou Sun, Jiawei Han, Jing Gao, and Yintao Yu, “iTopicModel: Information Network-Integrated Topic Modeling", Proc. 2009 Int. Conf. on Data Mining (ICDM'09), Miami, FL, Dec. 2009.
  2. Xiao Yu, Lu An Tang, and Jiawei Han, “Filtering and Refinement: A Two-Stage Approach for Efficient and Effective Anomaly Detection", Proc. 2009 Int. Conf. on Data Mining (ICDM'09), Miami, FL, Dec. 2009.
  3. Samson Hauguel, ChengXiang Zhai, and Jiawei Han, “Parallel PathFinder Algorithms for Mining Structures from Graphs", Proc. 2009 Int. Conf. on Data Mining (ICDM'09), Miami, FL, Dec. 2009.
  4. Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, and Jiawei Han, “Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models", Proc. NIPS 2009 Neural Info. Processing Systems Conf. (NIPS'09), Vancouver, B.C., Canada, Dec. 2009.
  5. Peixiang Zhao, Jiawei Han, Yizhou Sun, “P-Rank: A Comprehensive Structural Similarity Measure over Information Networks", Proc. 2009 ACM Conf. on Information and Knowledge Management (CIKM'09), Hong Kong, China, Nov. 2009.
  6. Tianyi Wu and Jiawei Han, “Subspace Discovery for Promotion: A Cell Clustering Approach", Proc. 12th Int. Conf. on Discovery Science (DS'09), Porto, Portugal, Oct. 2009.
  7. Min-Soo Kim and Jiawei Han, “CHRONICLE: A Two-Stage Density-based Clustering Algorithm for Dynamic Networks", Proc. 12th Int. Conf. on Discovery Science (DS'09), Porto, Portugal, Oct. 2009.
  8. Jiawei Han, “Mining Heterogeneous Information Networks by Exploring the Power of Links", Proc. 12th Int. Conf. on Discovery Science (DS'09), Porto, Portugal, Oct. 2009. (invited talk)
  9. Chandrasekar Ramachandran, Rahul Malik, Xin Jin, Jing Gao, Klara Nahrstedt, and Jiawei Han, “VideoMule: A Consensus Learning Approach to Multi-Label Classification from Noisy User-Generated Videos", Proc. 2009 ACM Int. Conf. on Multimedia (ACM-MM'09), Beijing, China, Oct. 2009.
  10. Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, and Bhavani Thuraisingham, “Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams", Proc. 2009 European Conf. on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'09), Bled, Slovenia, Sept. 2009.
  11. Min-Soo Kim and Jiawei Han, "A Particle-and-Density Based Evolutionary Clustering Method for Dynamic Networks", Proc. 2009 Int. Conf. on Very Large Data Bases (VLDB'09), Lyon, France, Aug. 2009.
  12. Tianyi Wu, Dong Xin, Qiaozhu Mei, and Jiawei Han, "Promotion Analysis in Multi-Dimensional Space", Proc. 2009 Int. Conf. on Very Large Data Bases (VLDB'09), Lyon, France, Aug. 2009.
  13. Chen Chen, Cindy Lin, Matt Fredrikson, Mihai Christodorescu, Xifeng Yan, and Jiawei Han, "Mining Graph Patterns Efficiently via Randomized Summaries", Proc. 2009 Int. Conf. on Very Large Data Bases (VLDB'09), Lyon, France, Aug. 2009.
  14. Yintao Yu, Cindy X. Lin, Yizhou Sun, Chen Chen, Jiawei Han, Binbin Liao, Tianyi Wu, ChengXiang Zhai, Duo Zhang, and Bo Zhao, “iNextCube: Information Network-Enhanced Text Cube", Proc. 2009 Int. Conf. on Very Large Data Bases (VLDB'09) (system demo), Lyon, France, Aug. 2009.
  15. David Lo, Hong Cheng, Jiawei Han, SiauCheng Khoo, and Chengnian Sun, “Classification of Software Behaviors for Failure Detection: A Discriminative Pattern Mining Approach", Proc. 2009 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'09), Paris, France, June 2009.
  16. Yizhou Sun, Yintao Yu, and Jiawei Han, “Ranking-Based Clustering of Heterogeneous Information Networks with Star Network Schema", Proc. 2009 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'09), Paris, France, June 2009.
  17. Zhijun Yin, Rui Li, Qiaozhu Mei, and Jiawei Han, “Exploring Social Tagging Graph for Web Object Classification", Proc. 2009 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'09), Paris, France, June 2009.
  18. Jing Gao, Wei Fan, Yizhou Sun, and Jiawei Han, “Heterogeneous Source Consensus Learning via Decision Propagation and Negotiation", Proc. 2009 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'09), Paris, France, June 2009.
  19. Deng Cai, Xiaofei He, Xuanhui Wang, Hujun Bao, Jiawei Han,  “Locality Preserving Nonnegative Matrix Factorization”, Proc. 2009 Int. Joint Conf. on Arti_cial Intelligence (IJCAI-09), Pasadena, CA, July 2009.
  20. Mohammad Maifi Hasan Khan, Tarek Abdelzaher, Jiawei Han, and Hossein Ahmadi, “Finding Symbolic Bug Patterns in Sensor Networks", Proc. 2009 IEEE Int. Conf. on Distributed Computing in Sensor Systems (DCOSS '09), Marina Del Rey, CA, June 2009.
  21. Jing Gao, Guofei Jiang, Haifeng Chen, and Jiawei Han, “Modeling Probabilistic Measurement Correlations for Problem Determination in Large-Scale Distributed Systems”, Proc. 2009 Int. Conf. on Distributed Computing Systems (ICDCS'09), Montreal, Quebec, Canada, June 2009.
  22. Mohammad M Masud, Jing Gao, Latifur Khan, Jiawei Han, and Bhavani Thuraisingham, “A Multi-Partition Multi-Chunk Ensemble Technique to Classify Concept-Drifting Data Streams”, Proc. 2009 Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'09), Bangkok, Thailand, Apr. 2009.
  23. Xin Jin, Sangkyum Kim, Jiawei Han, Liangliang Cao, and Zhijun Yin, “GAD: General Activity Detection for Fast Clustering on Large Data", Proc. 2009 SIAM Int. Conf. on Data Mining (SDM'09), Sparks, NV, April 2009.
  24. Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, and Karsten M. Borgwardt, “Near-Optimal Supervised Feature Selection among Frequent Subgraphs", Proc. 2009 SIAM Int. Conf. on Data Mining (SDM'09), Sparks, NV, April 2009.
  25. Duo Zhang, Chengxiang Zhai and Jiawei Han, “Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases", Proc. 2009 SIAM Int. Conf. on Data Mining (SDM'09), Sparks, NV, April 2009.
  26. Yizhou Sun, Jiawei Han, Peixiang Zhao, Zhijun Yin, Hong Cheng, Tianyi Wu, “RankClus: Integrating Clustering with Ranking for Heterogeneous Information Network Analysis”, Proc. 2009 Int. Conf. on Extending Data Base Technology (EDBT'09), Saint-Petersburg, Russia, Mar. 2009.
  27. Jiawei Han, Xifeng Yan, and Philip S. Yu, “Scalable OLAP and Mining of  Information Networks”, 2009 Int. Conf. on Extending Data Base Technology (EDBT'09), Saint-Petersburg, Russia, Mar. 2009.
  28. Bolin Ding, David Lo, Jiawei Han, and Siau-Cheng Khoo, “Efficient Mining of Closed Repetitive Gapped Subsequences from a Sequence Database”, Proc. 2009 Int. Conf. on Data Engineering (ICDE'09), Shanghai, China, Mar. 2009.
  29. Xiaolei Li, Zhenhui Li, Jiawei Han, and Jae-Gil Lee, “Temporal Outlier Detection in Vehicle Traffic Data”, Proc. 2009 Int. Conf. on Data Engineering (ICDE'09), Shanghai, China, Mar. 2009.
  30. Jiawei Han and Jing Gao, “Research Challenges for Data Mining in Science and Engineering", in H. Kargupta, et al., (eds.), Next Generation of Data Mining, Chapman & Hall, 2009.
  31. Feida Zhu, Xifeng Yan, Jiawei Han and Philip S. Yu, “Mining Frequent Approximate Sequential Patterns", in H. Kargupta, et al., (eds.), Next Generation of Data Mining, Chapman & Hall, 2009.
  32. Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, and Philip S. Yu, "Graph OLAP: A Multi-Dimensional Framework for Graph Data Analysis", accepted by Knowledge and Information Systems (KAIS), 2009.
  33. Hector Gonzalez, Jiawei Han, Hong Cheng, Xiaolei Li, Diego Klabjan, and Tianyi Wu, Modeling Massive RFID Datasets: A Gateway-Based Movement-Graph Approach, Accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE), 2009.

2008

1.      Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, and Philip S. Yu, "Graph OLAP: Towards Online Analytical Processing on Graphs", Proc. 2008 Int. Conf. on Data Mining (ICDM'08), Pisa, Italy, Dec. 2008.

2.      Deng Cai, Xiaofei He, Xiaoyun Wu, and Jiawei Han, “Non-negative Matrix Factorization on Manifold”, Proc. 2008 Int. Conf. on Data Mining (ICDM'08), Pisa, Italy, Dec. 2008.

3.      Cindy Xide Lin, Bolin Ding, Jiawei Han, Feida Zhu, and Bo Zhao, "Text Cube: Computing IR Measures for Multidimensional Text Database Analysis", Proc. 2008 Int. Conf. on Data Mining (ICDM'08), Pisa, Italy, Dec. 2008.

4.      Luiz Mendes, Bolin Ding, and Jiawei Han, "Stream Sequential Pattern Mining with Precise Error Bounds", Proc. 2008 Int. Conf. on Data Mining (ICDM'08), Pisa, Italy, Dec. 2008.

5.      Mohammad Masud, Jing Gao, Latifur Khan, Jiawei Han, and Bhavani Thuraisingham, "A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data", Proc. 2008 Int. Conf. on Data Mining (ICDM'08), Pisa, Italy, Dec. 2008.

6.      Jing Gao, Bolin Ding, Wei Fan, Jiawei Han, and Philip S. Yu, “Classifying Data Streams with Skewed Class Distribution and Concept Drifts”, IEEE Internet Computing (Special Issue on Data Stream Management), 12(6): 37-49, 2008

7.      Mohammad Maifi Hasan Khan, Hieu Le, Hossein Ahmadi, Tarek Abdelzaher, and Jiawei Han, “DustMiner: Troubleshooting Interactive Complexity Bugs in Sensor Networks”, Proc. 2008 ACM Int. Conf. on Embedded Networked Sensor Systems (Sensys'08), Raleigh, NC, Nov. 2008.

8.      Chen Chen, Cindy Xide Lin, Xifeng Yan, and Jiawei Han, “On Effective Presentation of Graph Patterns: A Structural Representative Approach”, Proc. 2008 ACM Conf. on Information and Knowledge Management (CIKM'08), Napa Valley, CA, Oct. 2008.

9.      Deng Cai, Qiaozhu Mei, Jiawei Han, and ChengXiang Zhai, “Modeling Hidden Topics on Document Manifold”, Proc. 2008 ACM Conf. on Information and Knowledge Management (CIKM'08), Napa Valley, CA, Oct. 2008.

10. Jae-Gil Lee, Jiawei Han, Xiaolei Li, and Hector Gonzalez, “TraClass: Trajectory Classification Using Hierarchical Region-Based and Trajectory-Based Clustering”, Proc. 2008 Int. Conf. on Very Large Data Base (VLDB'08), Auckland, New Zealand, Aug. 2008.

11. Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, and Olivier Verscheure, “Direct Mining of Discriminative and Essential Graphical and Itemset Features via Model-based Search Tree”, Proc. 2008 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'08), Las Vegas, NV, Aug. 2008.

12. Jing Gao, Wei Fan, Jing Jiang, and Jiawei Han, “Knowledge Transfer via Multiple Model Local Structure Mapping”, Proc. 2008 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'08), Las Vegas, NV, Aug. 2008.

13. Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, and Jiawei Han, “Mining Preferences from Superior and Inferior Examples”, Proc. 2008 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'08), Las Vegas, NV, Aug. 2008.

14. Deng Cai, Xiaofei He, and Jiawei Han, “Sparse Projections over Graph”, Proc. 2008 AAAI Conf. on Artificial Intelligence (AAAI-08), Chicago, Illinois, July 2008.

15. Sangkyum Kim, Jaebum Kim, Younhee Ko, Seung-won Hwang and Jiawei Han, “PerRank: Personalized Rank Retrieval with Categorical and Numerical Attributes”, Proc. 2008 Int. Conf. on Web-Age Information Management (WAIM'08), Zhangjiajie, China, July 2008.

16. Tianyi Wu, Dong Xin, and Jiawei Han, “ARCube: Supporting Ranking Aggregate Queries in Partially Materialized Data Cubes”,  Proc. 2008 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'08), Vancouver, BC, Canada, June 2008.

17. Xifeng Yan, Hong Cheng, Jiawei Han, and Philip S. Yu, “Mining Significant Graph Patterns by Scalable Leap Search”,  Proc. 2008 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'08), Vancouver, BC, Canada, June 2008.

18. Xiaolei Li, Jiawei Han, Zhijun Yin, Jae-Gil Lee, and Yizhou Sun, “Sampling Cube: A Framework for Statistical OLAP over Sampling Data”, Proc. 2008 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'08), Vancouver, BC, Canada, June 2008.

19. Yizhou Sun, Tianyi Wu, Hong Cheng, Jiawei Han, Xiaoxin Yin, and Peixiang Zhao, “BibNetMiner: Mining Bibliographic Information Networks”, (demo paper), Proc. 2008 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'08), Vancouver, BC, Canada, June 2008.

20. Sangkyum Kim, Xin Jin and Jiawei Han, “SpaRClus: Spatial Relationship Pattern-Based Hierarchical Clustering”, Proc. 2008 SIAM Int. Conf. on Data Mining (SDM'08), Atlanta, GA, April 2008.

21. Ding Yuan, Kyuhyung Lee, Hong Cheng, Gopal Krishna, Zhenmin Li, Xiao Ma, Yuanyuan Zhou and Jiawei Han, “CISpan: Comprehensive Incremental Mining Algorithms of Closed Sequential Patterns for Multi-Versional Software Mining”, Proc. 2008 SIAM Int. Conf. on Data Mining (SDM'08), Atlanta, GA, April 2008.

22.  Deng Cai, Xiaofei He, and Jiawei Han, "Training Linear Discriminant Analysis in Linear Time", Proc. 2008 Int. Conf. on Data Engineering (ICDE'08), Cancun, Mexico, April 2008.

23.  Hong Cheng, Xifeng Yan, Jiawei Han, and Philip S. Yu, "Direct Discriminative Pattern Mining for Effective Classification", Proc. 2008 Int. Conf. on Data Engineering (ICDE'08), Cancun, Mexico, April 2008.

24.  Jae-Gil Lee, Jiawei Han, and Xiaolei Li, "Trajectory Outlier Detection: A Partition-and-Detect Framework", Proc. 2008 Int. Conf. on Data Engineering (ICDE'08), Cancun, Mexico, April 2008.

25. Dong Xin and Jiawei Han, "P-Cube: Answering Preference Queries in Multi-Dimensional Space", Proc. 2008 Int. Conf. on Data Engineering (ICDE'08), Cancun, Mexico, April 2008.

26. Xiaoxin Yin, Jiawei Han and Philip S. Yu, "Truth Discovery with Multiple Conflicting Information Providers on the Web", IEEE Transactions on Knowledge and Data Engineering, 20(6):796-808, 2008.

27. Xiaofei He, Deng Cai, Jiawei Han, “Learning a Maximum Margin Subspace for Image Retrieval”, IEEE Transactions on Knowledge and Data Engineering, 20(2):189-201, 2008.

28. Deng Cai, Xiaofei He, Jiawei Han, “SRDA: An Efficient Algorithm for Large Scale Discriminant Analysis”, IEEE Transactions on Knowledge and Data Engineering, 20(1):1-12, 2008.

29. Hong Cheng, Philip S. Yu,  and Jiawei Han, “Approximate Frequent Itemset Mining In the Presence of Random Noise”, O. Maimon and L. Rokach (eds.), Soft Computing for Knowledge Discovery and Data Mining, Springer, 2008, pp. 363-389.

2007

  1. Deng Cai, Xiaofei He, Wei Vivian Zhang, and Jiawei Han, “Regularized Locality Preserving Indexing”, Proc. 2007 ACM Int. Conf. on Information and Knowledge Management (CIKM'07), Lisboa, Portugal, Nov. 2007.
  2. Deng Cai, Xiaofei He, and Jiawei Han, “A Unified Approach for Sparse Subspace Learning”, Proc. 2007 Int. Conf. on Data Mining (ICDM'07), Omaha, NE, Oct. 2007.
  3. Jing Gao, Wei Fan, and Jiawei Han, “On Appropriate Assumptions to Mine Data Streams: Analysis and Practice”, Proc. 2007 Int. Conf. on Data Mining (ICDM'07), Omaha, NE, Oct. 2007.
  4. Deng Cai, Xiaofei He, and Jiawei Han, “Efficient Kernel Discriminant Analysis via Spectral Regression”, Proc. 2007 Int. Conf. on Data Mining (ICDM'07), Omaha, NE, Oct. 2007.
  5. Chen Chen, Xifeng Yan, Feida Zhu, and Jiawei Han, “gApprox: Mining Frequent Approximate Patterns from a Massive Network”, Proc. 2007 Int. Conf. on Data Mining (ICDM'07), Omaha, NE, Oct. 2007.
  6. Feida Zhu, Xifeng Yan, Jiawei Han, and Philip S. Yu, “Efficient Discovery of Frequent Approximate Sequential Patterns”, Proc. 2007 Int. Conf. on Data Mining (ICDM'07), Omaha, NE, Oct. 2007.
  7. Chao Liu, Tao Xie, and Jiawei Han, "Mining for Software Reliability",  ICDM'2007 Conference Tutorial, Omaha, NE, Oct. 2007.
  8. Deng Cai, Xiaofei He, and Jiawei Han,, “Spectral Regression for Efficient Regularized Subspace Learning”, Proc. 2007 IEEE Int. Conf. On Computer Vision (ICCI'07), Rio de Janeiro, Brazil, Oct. 2007.
  9. Deng Cai, Xiaofei He, and Jiawei Han,, “Semi-supervised Discriminant Analysis”, Proc. 2007 IEEE Int. Conf. on Computer Vision (ICCI'07), Rio de Janeiro, Brazil, Oct. 2007.

10. Chao Liu, Xiangyu Zhang, Jiawei Han, Yu Zhang and Bharat K. Bhargava, “Failure Indexing: A Dynamic Slicing Based Approach”, in Proc. 2007 IEEE Int. Conf. on Software Maintenance (ICSM'07), Paris, France, Oct. 2007.

11. Deng Cai, Xiaofei He, and Jiawei Han, “A Unified Subspace Learning Framework for Content-Based Image Retrieval”, in Proc. 2007 Int. Conf. on ACM Multimedia (ACM-MM'07), Augsburg, Germany, Sept. 2007.

12. Chen Chen, Xifeng Yan, Philip S. Yu, Jiawei Han, DongQing Zhang, and Xiaohui Gu, “Towards Graph Containment Search and Indexing”, in Proc. 2007 Int. Conf. on Very Large Data Bases (VLDB'07), Vienna, Austria, Sept. 2007.

13. Hector Gonzalez, Jiawei Han, Xiaolei Li, Margaret Myslinska, and John Paul Sondag, “Adaptive Fastest Path Computation on a Road Network: A Traffic Mining Approach”, in Proc. 2007 Int. Conf. on Very Large Data Bases (VLDB'07), Vienna, Austria, Sept. 2007.

14. Xiaolei Li and Jiawei Han, “Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data”, in Proc. 2007 Int. Conf. on Very Large Data Bases (VLDB'07), Vienna, Austria, Sept. 2007.

15. Tainyi Wu, Xiaolei Li, Dong Xin, Jiawei Han, Jacob Lee, and Ricardo Redder, “DataScope: Viewing Database Contents in Google Maps' Way”, in Proc. 2007 Int. Conf. on Very Large Data Bases (VLDB'07), Vienna, Austria, Sept. 2007 (system demo).

16. Tianyi Wu, Yuguo Chen and Jiawei Han, “Association Mining in Large Databases: A Re-Examination of Its Measures”, in Proc. 2007 Int. Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'07), Warsaw, Poland, Sept. 2007.

17. Jiawei Han, Xiaoxin Yin, and Philip S. Yu, “Exploring the Power of Links in Data Mining”, Tutorial for Proc. 2007 Int. Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'07), Warsaw, Poland, Sept. 2007.

18.  Xiaoxin Yin, Jiawei Han, and Philip S. Yu, “Truth Discovery with Multiple Conflicting Information Providers on the Web”, in Proc. 2007 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'07), San Jose, CA, Aug. 2007.

19. Xiaolei Li, Jiawei Han, Jae-Gil Lee, and Hector Gonzalez, “Traffic Density-based Discovery of Hot Routes in Road Networks”, in Proc. 2007 Int. Symp. on Spatial and Temporal Databases (SSTD'07), Boston, MA, July 2007.

20. Deng Cai, Xiaofei He and Jiawei Han, “Isometric Projection”, in Proc. 2007 AAAI Conf. on Artificial Intelligence (AAAI-07), Vancouver, B. C., Canada, July 2007.

21. Wen Jin, Anthony K.H. Tung, Martin Ester, and Jiawei Han, “On Efficient Processing of Subspace Skyline Queries on High Dimensional Data”, in Proc. 2007 Int. Conf. on Scientific and Statistical Database Management (SSDBM'07), Banff, Canada, July 2007.

22. Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, and Thomas Huang, “Learning a Spatially Smooth Subspace for Face Recognition”, in Proc. 2007 IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'07), Minneapolis, MN, June 2007.

23. Jae-Gil Lee, Jiawei Han, and Kyu-Young Whang, “Trajectory Clustering: A Partition-and-Group Framework”, in Proc. 2007 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'07), Beijing, China, June 2007.

24. Dong Xin, Jiawei Han, and Kevin C.-C. Chang, “Progressive and Selective Merge: Computing Top-K with Ad-hoc Ranking Functions”, in Proc. 2007 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'07), Beijing, China, June 2007.

25. Feida Zhu, Xifeng Yan, Jiawei Han, and Philip S. Yu, “gPrune: A Constraint Pushing Framework for Graph Pattern Mining”, in Proc. 2007 Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'07), Nanjing, China, May 2007. (Best Student Paper Award)

26. Jing Gao, Wei Fan, and Jiawei Han, “A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions”, in Proc. 2007 SIAM Int. Conf. on Data Mining (SDM'07), Minneapolis, MN, April 2007.

27. Xiaolei Li, Jiawei Han, Sangkyum Kim, and Hector Gonzalez, “ROAM: Rule- and Motif-Based Anomaly Detection in Massive Moving Object Data Sets”, in Proc. 2007 SIAM Int. Conf. on Data Mining (SDM'07), Minneapolis, MN, April 2007.  (One of “Best of SDM’07”)

28. Hong Cheng, Xifeng Yan, Jiawei Han, and Chih-Wei Hsu, “Discriminative Frequent Pattern Analysis for Effective Classification”, in Proc. 2007 Int. Conf. on Data Engineering (ICDE'07), Istanbul, Turkey, April 2007.

29. Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, and Hong Cheng, “Mining Colossal Frequent Patterns by Core Pattern Fusion”, in Proc. 2007 Int. Conf. on Data Engineering (ICDE'07), Istanbul, Turkey, April 2007. (Best Student Paper Award)

30. Hector Gonzalez, Jiawei Han, and Xuehua Shen, “Cost-conscious Cleaning of Massive RFID Data Sets”, in Proc. 2007 Int. Conf. on Data Engineering (ICDE'07), Istanbul, Turkey, April 2007.

31. Xiaoxin Yin, Jiawei Han, and Philip S. Yu, “Object Distinction: Distinguishing Objects with Identical Names by Link Analysis”, in Proc. 2007 Int. Conf. on Data Engineering (ICDE'07), Istanbul, Turkey, April 2007.

32. Wen Jin, Martin Ester, Zengjian Hu, and Jiawei Han, “The Multi-Relational Skyline Operator”, in Proc. 2007 Int. Conf. on Data Engineering (ICDE'07), Istanbul, Turkey, April 2007.

33. Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han and Hujun Bao, “Locality Sensitive Discriminant Analysis”, in Proc. 2007 Int. Joint Conf. on Artificial Intelligence (IJCAI'07), Hyderabad, India, Jan. 2007.

  1. Xiaoxin Yin, Jiawei Han, and Philip S. Yu, “CrossClus: User-Guided Multi-Relational Clustering”, Data Mining and Knowledge Discovery, 16(1), 2007. 10.1007/s10618-007-0072-z, SpringerLink Date: July 05, 2007.
  2. Jianyong Wang, Jiawei Han, and Chun Li, “Frequent Closed Sequence Mining without Candidate Maintenance”, IEEE Transactions on Knowledge and Data Engineering, 19(8), 2007.
  3. Chulyun Kim, Sangkyum Kim, Russell Dorer, Dan Xie, Jiawei Han, and Sheng Zhong,  “TagSmart: Analysis and Visualization for Yeast Mutant Fitness Data Measured by Tag Microarrays”, BMC Bioinformatics, 8:128, April 2007. (http://www.biomedcentral.com/1471-2105/8/128)
  4. Jian Pei, Jiawei Han, and Wei Wang, “Constraint-based sequential pattern mining: the pattern-growth methods”, Journal of Intelligent Information Systems, 28(2):133-160, 2007.
  5. Jiawei Han, Hong Cheng, Dong Xin, and Xifeng Yan, “Frequent Pattern Mining: Current Status and Future Directions”, Data Mining and Knowledge Discovery, 15(1): 55-86, 2007. (Online version published on January 27, 2007, DOI 10.1007/s10618-006-0059-1 SpringerLink).
  6. Dong Xin, Jiawei Han, Xifeng Yan and Hong Cheng, “On Compressing Frequent Patterns”, Knowledge and Data Engineering, (Special issue on Intelligent Data Mining), 60(1): 5-29, 2007.
  7. Dong Xin, Jiawei Han, Xiaolei Li, Zheng Shao, and Benjamin W. Wah, “Computing Iceberg Cubes by Top-Down and Bottom-Up Integration: The StarCubing Approach”, IEEE Transactions on Knowledge and Data Engineering, 19(1): 111-126, 2007.

 

2006

1.      Chao Liu, Zeng Lian, and Jiawei Han, “How Bayesians Debug?”, in Proc. 2006 Int. Conf. on Data Mining (ICDM'06), Hong Kong, China, Dec. 2006.

2.      Hong Cheng, Philip S. Yu, and Jiawei Han, “AC-Close: Efficiently Mining Approximate Closed Itemsets by Core Pattern Recovery”, in Proc. 2006 Int. Conf. on Data Mining (ICDM'06), Hong Kong, China, Dec. 2006.

3.      Chao Liu and Jiawei Han, “Failure Proximity: A Fault Localization-Based Approach”, in Proc. 14th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE'06), Portland, OR, Nov. 2006.

4.      Hector Gonzalez, Jiawei Han, and Xiaolei Li, “Mining Compressed Commodity Workflows From Massive RFID Data Sets”, in Proc. 2006 Int. Conf. on Information and Knowledge Management (CIKM'06), Arlington, VA, Nov. 2006.

5.      Xiaoxin Yin, Jiawei Han, and Philip Yu, “LinkClus: Efficient Clustering via Heterogeneous Semantic Links”, in Proc. 2006 Int. Conf. on Very Large Data Bases (VLDB'06), Seoul, Korea, Sept. 2006.

6.      Hector Gonzalez, Jiawei Han, and Xiaolei Li, “FlowCube: Constructuing RFID FlowCubes for Multi-Dimensional Analysis of Commodity Flows”, in Proc. 2006 Int. Conf. on Very Large Data Bases (VLDB'06), Seoul, Korea, Sept. 2006.

7.      Dong Xin, Chen Chen, and Jiawei Han,  “Towards Robust Indexing for Ranked Queries”, in Proc. 2006 Int. Conf. on Very Large Data Bases (VLDB'06), Seoul, Korea, Sept. 2006.

8.      Dong Xin, Jiawei Han, Hong Cheng, and Xiaolei Li, “Answering Top-k Queries with Multi-Dimensional Selections: The Ranking Cube Approach”, in Proc. 2006 Int. Conf. on Very Large Data Bases (VLDB'06), Seoul, Korea, Sept. 2006.

9.      Dong Xin, Hong Cheng, Xifeng Yan, and Jiawei Han, “Extracting Redundancy-Aware Top-K Patterns”, in Proc. 2006 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'06), Philadelphia, PA, Aug. 2006.

10.  Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, and ChengXiang Zhai, “Generating Semantic Annotations for Frequent Patterns with Context Analysis”, in Proc. 2006 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'06), Philadelphia, PA, Aug. 2006. (Best Student Paper Runner-Up Award)

11.  Chao Liu, Chen Chen, Jiawei Han, and Philip Yu, “GPLAG: Detection of Software Plagiarism by Procedure Dependency Graph Analysis”, in Proc. 2006 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'06), Philadelphia, PA, Aug. 2006.

12.  Dong Xin, Xuehua Shen, Qiaozhu Mei, and Jiawei Han, “Discovering Interesting Patterns Through User's Interactive Feedback”, in Proc. 2006 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'06), Philadelphia, PA, Aug. 2006.

13.  Deng Cai, Xiaofei He and Jiawei Han, “Tensor Space Model for Document Analysis”, in Proc. 2006 Int. ACM SIGIR Conf. on Research & Development on Information Retrieval (SIGIR'06), Seattle, WA, Aug. 2006.

14.  Jiawei Han, Hector Gonzalez, Xiaolei Li and Diego Klabjan, “Warehousing and Mining Massive RFID Data Sets”, (Keynote Speech), 2006 Int. Conf. on Advance Data Mining and Its Applications (ADMA’06), Xi’An, China, Aug. 2006.

15.  Hongyan Liu, Ying Lu, Jiawei Han, and Jun He, “Error-Adaptive and Time-Aware Maintenance of Frequency Counts over Data Streams”, in Proc. 2006 Int. Conf. on Web-Age Information Management (WAIM'06), Hong Kong, China, June, 2006.

16.  Kaushik Chakrabarti, Venkatesh Ganti, Jiawei Han, and Dong Xin, “Ranking Objects Based on Relationships”, in Proc. 2006 ACM SIGMOD Int. Conf. on Management of Data (SIGMOD'06), Chicago, IL, June 2006.

17.  Xiaolei Li, Jiawei Han, and Sangkyum Kim, “Motion-Alert: Automatic Anomaly Detection in Massive Moving Objects”, Proc. 2006 IEEE Int. Conf. on Intelligence and Security Informatics (ISI'06), San Diego, CA, May 2006.

18.  Wen Jin, Anthony K. H. Tung, Jiawei Han, and Wei Wang, “Ranking Outliers Using Symmetric Neighborhood Relationship,” in Proc. 2006 Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'06), Singapore, April 2006.

19.  Hongyan Liu, Jiawei Han, Dong Xin, and Zheng Shao, “Mining Interesting Patterns from Very High Dimensional Data: A Top-Down Row Enumeration Approach,” in Proc. 2006 SIAM Int. Conf. on Data Mining (SDM'06), Bethesda, MD, April 2006. (One of “Best of SDM’06”)

20.  Chao Liu, Xifeng Yan, and Jiawei Han, “Mining Control Flow Abnormality for Logic Error Isolation,” in Proc. 2006 SIAM Int. Conf. on Data Mining (SDM'06), Bethesda, MD, April 2006.

21.  Charu Aggarwal, Chen Chen, and Jiawei Han, “On the Inverse Classification Problem and its Applications”, in Proc. 2006 Int. Conf. on Data Engineering (ICDE'06), Atlanta, Georgia, April 2006.

22.  Hector Gonzalez,  Jiawei Han, Xiaolei Li, and Diego Klabjan, “Warehousing and Analysis of Massive RFID Data Sets”, in Proc. 2006 Int. Conf. on Data Engineering (ICDE'06), Atlanta, Georgia, April 2006. (Best Student Paper Award)

23.  Hongyan Liu, Jiawei Han, Dong Xin, and Zheng Shao, “Top-Down Mining of Interesting Patterns from Very High Dimensional Data”, in Proc. 2006 Int. Conf. on Data Engineering (ICDE'06), Atlanta, Georgia, April 2006.

24.  Dong Xin, Jiawei Han, Zheng Shao, and Hongyan Liu, “C-Cubing: Efficient Computation of Closed Cubes by Aggregation-Based Checking”, in Proc. 2006 Int. Conf. on Data Engineering (ICDE'06), Atlanta, Georgia, April 2006.

25.  Xifeng Yan, Feida Zhu, Jiawei Han, and Philip S. Yu, “Searching Substructures with Superimposed Distance”, in Proc. 2006 Int. Conf. on Data Engineering (ICDE'06), Atlanta, Georgia, April 2006.

26.  Chao Liu, Long Fei, Xifeng Yan, Jiawei Han and Samuel P. Midkiff, “Statistical Debugging: A Hypothesis Testing-based Approach”, IEEE Transaction on Software Engineering, 32(10): 831-848, 2006.

27. Yixin Chen, Guozhu Dong, Jiawei Han, Jian Pei, Benjamin W. Wah, and Jianyong Wang, “Regression Cubes with Lossless Compression and Aggregation”, IEEE Transactions on Knowledge and Data Engineering, 18(12): 1585-1599, 2006.

28. Jiangyong Wang, Jiawei Han, and Jian Pei, “Closed Constrained-Gradient Mining in Retail Databases”, IEEE Transactions on Knowledge and Data Engineering, 18(6): 764-769, 2006.

29. Xiaoxin Yin, Jiawei Han, Jiong Yang and Philip S. Yu, “Efficient Classification across Multiple Database Relations: A CrossMine Approach”, IEEE Transactions on Knowledge and Data Engineering, 18(6): 770-783, 2006.

30. Charu Aggarwal, Jiawei Han, Jianyong Wang, and Philip S. Yu, “A Framework for On-Demand Classification of Evolving Data Streams”, IEEE Transactions on Knowledge and Data Engineering, 18(5):577-789, 2006.

2005

1.     Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han, “Community Mining from Multi-Relational Networks”, in Proc. 2005 European Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), Porto, Portugal, Oct., 2005.

2.     Wen Jin, Martin Ester and Jiawei Han, “Efficient Processing of Ranked Queries with Sweeping Selection”,  in Proc. 2005 European Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), Porto, Portugal, Oct., 2005.

3.     Xiaoxin Yin and Jiawei Han, “Efficient Classification from Multiple Heterogeneous Databases”, in Proc. 2005 European Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), Porto, Portugal, Oct., 2005.

4.     Chen Chen, Dong Xin, Jiawei Han, “Accelerating DNA Sequencing by Hybridization with Noises”, in Proc. 2005 ACM-SIGKDD Workshop on Data Mining in Bioinformatics (BioKDD'05), Chicago, IL, Aug. 2005.

5.     Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiawei Han, “Mining Hidden Community in Heterogeneous Social Networks”, in Proc. 2005 ACM-SIGKDD Workshop on Link Discovery: Issues, Approaches and Applications (LinkKDD'05), Chicago, IL, Aug. 2005.

6.     H. Liu, X. Yin, J. Han, “An Efficient Multi-relational Naïve Bayesian Classifier Based on Semantic Relationship Graphs”, in Proc. 2005 ACM-SIGKDD Workshop on Multi-Relational Data Mining (KDD/MRDM'05), Chicago, IL, Aug. 2005.

7.     J. Yang, X. Yan, J. Han, and W. Wang, “Discovering Evolutionary Classifier over High Speed Non-Static Stream”, in S. Bandyopadhyay et al. (eds.),  Advanced Methods for Knowledge Discovery from Complex Data, Springer Verlag, 2005.

8.     J. Han, J. Pei, and X. Yan, “Sequential Pattern Mining by Pattern-Growth: Principles and Extensions”, in W. W. Chu and T. Y. Lin (eds.), Recent Advances in Data Mining and Granular Computing (Mathematical Aspects of Knowledge Discovery), Springer Verlag, 2005.

9.     J. Wang, J. Han, Y. Lu, and P. Tzvetkov, “TFP: An Efficient Algorithm for Mining Top-K Frequent Closed Itemsets”, IEEE Transactions on Knowledge and Data Engineering, 17(5):652-664, 2005.

10. C. Liu, X. Yan, L. Fei, J. Han, and S. Midkiff, “SOBER: Statistical Model-based Bug Localization”, in Proc. 2005 ACM SIGSOFT Symp. on the Foundations of Software Engineering (FSE 2005), Lisbon, Portugal, Sept. 2005.

11. D. Xin, J. Han, X. Yan and H. Cheng, “Mining Compressed Frequent-Pattern Sets”, in Proc. 2005 Int. Conf. on Very Large Data Bases (VLDB'05), Trondheim, Norway, Aug. 2005.

12. X. Yan, H. Cheng, J. Han, and D. Xin, “Summarizing Itemset Patterns: A Profile-Based Approach”, in Proc. 2005 Int. Conf. on Knowledge Discovery and Data Mining (KDD'05), Chicago, IL, Aug. 2005.  (Best Student Paper Runner-Up Award)

13. X. Yan, X. J. Zhou, and J. Han, “Mining Closed Relational Graphs with Connectivity Constraints”, Proc. 2005 Int. Conf. on Knowledge Discovery and Data Mining (KDD'05), Chicago, IL, Aug. 2005.

14. X. Yin, J. Han, and P.S. Yu, “Cross-Relational Clustering with User's Guidance”, in Proc. 2005 Int. Conf. on Knowledge Discovery and Data Mining (KDD'05), Chicago, IL, Aug. 2005.

15. S. Cong, J. Han, and D. Padua, “Parallel Mining of Closed Sequential Patterns”, in Proc. 2005 Int. Conf. on Knowledge Discovery and Data Mining (KDD'05), Chicago, IL, Aug. 2005.

16. D. Cai and X. He. “Orthogonal Locality Preserving Indexing”, in Proc. 2005 Int. Conf. on Research and Development in Information Retrieval (SIGIR'05), Salvador, Brazil, Aug. 2005.

17. X. Yin, J. Han, and J. Yang, “Searching for Related Objects in Relational Databases”, in Proc. 2005 Int. Conf. on Scientific and Statistical Database Management (SSDBM'05), Santa Barbara, CA, June 2005.

18. H. Hu, X. Yan, Yu, J. Han and X. J. Zhou, “Mining Coherent Dense Subgraphs across Massive Biological Networks for Functional Discovery”, in Proc. 2005 Int. Conf. on Intelligent Systems for Molecular Biology (ISMB 2005), Ann Arbor, MI, June 2005.

19. X. Yan, P. S. Yu, and J. Han, “Substructure Similarity Search in Graph Databases”, in Proc. 2005 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD'05), Baltimore, Maryland, June 2005. 

20. C. Liu, X. Yan, H. Yu, J. Han, and P. S. Yu, “Mining Behavior Graphs for Backtrace of Noncrashing Bugs”, in Proc. 2005 SIAM Int. Conf. on Data Mining (SDM'05), Newport Beach, CA, April 2005.

21. H. Cheng, X. Yan, and J. Han, “SeqIndex: Indexing Sequences by Sequential Pattern Analysis”, in Proc. 2005 SIAM Int. Conf. on Data Mining (SDM'05), Newport Beach, CA, April 2005.

22. X. Li, J. Han, X. Yin, and D. Xin, “Mining Evolving Customer-Product Relationships in Multi-Dimensional Space”, in Proc. 2005 Int. Conf. on Data Engineering (ICDE'05), Tokyo, Japan, April 2005.

23. X. Yan, X. J. Zhou, J. Han, “Mining Closed Relational Graphs with Connectivity Constraints”, in Proc. 2005 Int. Conf. on Data Engineering (ICDE'05), Tokyo, Japan, April 2005.

24. S. Cong, J. Han and D. Padua, “A Sampling-based Framework for Parallel Data Mining,” in Proc. 2005 ACM SIGPLAN Symp. on Principles & Practice of Parallel Programming (PPOPP'05), Chicago, IL, June 2005.

25. J. Yang, X. Yan, J. Han, and W. Wang, “Discovering Evolutionary Classifier over High Speed Non-static Stream,” in S. Bandyopadhyay et al. (eds.), Advanced Methods for Knowledge Discovery from Complex Data, Springer Verlag, 2005.

26. Hwanjo Yu, Jiong Yang, Jiawei Han, and Xiaolei Li, “Making SVM Scalable to Large Data Sets Using Hierarchical Indexing”, Data Mining and Knowledge Discovery, 11(3): 295-321, 2005.

27. Jiawei Han, Yixin Chen, Guozhu Dong, Jian Pei, Benjamin W. Wah, Jianyong Wang, and Y. Dora Cai, “Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams”, Distributed and Parallel Databases, 18(2): 173-197, 2005.

28. Xifeng Yan, Philip Yu, and Jiawei Han, “Graph Indexing Based on Discriminative Frequent Structure Analysis”, ACM Transactions on Database Systems, 30(4): 960-993 2005.

29. Deng Cai, Xiaofei He and Jiawei Han, “Document Clustering Using Locality Preserving Indexing”, IEEE Transactions on Knowledge and Data Engineering, 17(12):1624-1637, 2005.

30. C. Aggarwal, J. Han, J. Wang, and P. S. Yu, “On Efficient Algorithms for High Dimensional Projected Clustering of Data Streams”, Data Mining and Knowledge Discovery, 10:251-272, 2005.

31. Petre Tzvetkov, Xifeng Yan, Jiawei Han, “TSP: Mining top-k closed sequential patterns”, Knowl. Inf. Syst., 7(4): 438-457, 2005.

32. J. Wang, J. Han, Y. Lu, and P. Tzvetkov, “TFP: An Efficient Algorithm for Mining Top-K Frequent Closed Itemsets”, IEEE Transactions on Knowledge and Data Engineering, 17(5):652-664, 2005.

33. K. Wang, Y. Jiang, J. X. Yu, G. Dong, and J. Han, “Divide-and-Approximate: A Novel Constraint Push Strategy for Iceberg Cube Mining”, IEEE Transactions on Knowledge and Data Engineering, 17(3):354-368, 2005.

34. Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han, “Image clustering with tensor representation”, ACM Multimedia 2005:132-140

2004

1.     W. Jin, J. Han, and M. Ester, “Mining Thick Skylines over Large Databases”, Proc. 2004 European Conf. on Principles of Principles and Practice of Knowledge Discovery in Databases (PKDD’04), Pisa, Italy, Sept. 2004.

2.     C. Aggarwal,  J. Han,  J. Wang,  and  P. S. Yu, “A Framework for Projected Clustering of High Dimensional Data Streams”, Proc. 2004 Int. Conf. on Very Large Data Bases (VLDB'04), Toronto, Canada, Aug. 2004.

3.     X. Li, J. Han, and H. Gonzalez, “High-Dimensional OLAP: A Minimal Cubing Approach”, Proc. 2004 Int. Conf. on Very Large Data Bases (VLDB'04), Toronto, Canada, Aug. 2004.

4.     C. Aggarwal, J. Han, J. Wang, and P. S. Yu, “On Demand Classification of Data Streams”, Proc. 2004 Int. Conf. on Knowledge Discovery and Data Mining (KDD'04), Seattle, WA, Aug. 2004.

5.     H. Cheng,  X. Yan,  and J. Han,  “IncSpan: Incremental  Mining of Sequential Patterns in Large Database”, Proc. 2004 Int. Conf. on Knowledge Discovery and Data Mining (KDD'04), Seattle, WA, Aug. 2004.

6.     B. He, K.C.-C. Chang, and J. Han, “Discovering Complex Matchings across Web Query Interfaces: A Correlation Mining Approach”, Proc.  2004 Int. Conf. on Knowledge Discovery and Data Mining (KDD'04), Seattle, WA, Aug. 2004.

7.     Y. Li, J. Han, and  J. Yang, “Clustering Moving Objects”, Proc. 2004 Int. Conf. on Knowledge Discovery and Data Mining (KDD'04), Seattle, WA, Aug. 2004.

8.     A. Wu, M. Garland, and J. Han, “Mining Scale-Free Networks using Geodesic Clustering”, Proc. 2004 Int. Conf. on Knowledge Discovery and Data Mining (KDD'04), Seattle, WA, Aug. 2004.

9.     J. Pei, J. Han, B. Mortazavi-Asl, J. Wang, H. Pinto, Q. Chen, U.  Dayal, and M.-C. Hsu, “Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach”, IEEE Transactions on Knowledge and Data Engineering, 16(10), 2004.

10. J. Han, J. Pei, and X. Yan, “From Sequential Pattern Mining to Structured Pattern Mining: A Pattern-Growth Approach,” Journal of Computer Science and Technology, 19(3): 257-279, 2004.

11. Z. Shao, J. Han, and D. Xin, “MM-Cubing: Computing Iceberg Cubes by Factorizing the Lattice Space”, Proc. 2004 Int. Conf. on Scientific and Statistical Database Management (SSDBM'04), Santorini Island, Greece, June 2004.

12. Y. Li, J. Yang, and J. Han, “Continuous K-Nearest Neighbor Search for Moving Objects”, Proc. 2004 Int. Conf. on Scientific and Statistical Database Management (SSDBM'04), Santorini Island, Greece, June 2004.

13. J. Han, J. Pei, Y. Yin and R. Mao, “Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach”, Data Mining and Knowledge Discovery, 8(1):53-87, 2004.

14. X. Yan, P. S. Yu, and J. Han, “Graph Indexing: A Frequent Structure-based Approach”, Proc. 2004 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD'04), Paris, France, June 2004.

15. Y. D. Cai, D. Clutter, G. Pape, J. Han, M. Welge, and L. Auvil, “MAIDS: Mining Alarming Incidents from Data Streams”, (system demonstration), Proc. 2004 ACM-SIGMOD Int. Conf. Management of Data (SIGMOD'04), Paris, France, June 2004.

16. W.-Y. Kim, Y.-K. Lee, and J. Han, “CCMine: Efficient Mining of Confidence-Closed Correlated Patterns”, Proc. 2004 Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'04), Sydney, Australia, May 2004.

17. H.Yu, J. Han, K. C.-C. Chang, “PEBL:Web PageClassification Without Negative Examples”, IEEE Transactions onKnowledge and Data Engineering (Special Issue on Mining and Searching the Web),16(1): 70-81, 2004.

18. G. Dong, J. Han, J. Lam, J. Pei, K. Wang, and W. Zou, “MiningConstrained Gradients in Multi-Dimensional Databases”, IEEE Transactions on Knowledge and Data Engineering, 16(6), 2004.

19. X. Yin, J. Han, J. Yang, and P. S. Yu, “CrossMine: Efficient Classification across Multiple Database Relations”, Proc. 2004 Int. Conf. on Data Engineering (ICDE'04), Boston, MA, March 2004.

20. J. Wang and J. Han, “BIDE: Efficient Mining of Frequent Closed Sequences”, Proc. 2004 Int. Conf. on Data Engineering (ICDE'04), Boston, MA, March 2004.

21. J. Han, J. Pei, and X. Yan, "Sequential Pattern Mining by Pattern-Growth:  Principles and Extensions," in  W.  W.  Chu  and  T.  Y.  Lin  (eds.),  Recent  Advances  in  Data  Mining  and  Granular Computing (Mathematical Aspects of Knowledge Discovery), Springer Verlag, 2004.

22. H. Yu, A.  Doan,  and  J.  Han, "Mining  for  Information  Discovery  on  the  Web:  Overview  and Illustrative Research," N. Zhong and J. Liu (eds.), Intelligent Technologies for Information Analysis, Springer Verlag, 2004, pp.  131-163.

23. J. Han, J. Pei, and X. Yan, "Sequential Pattern Mining by Pattern-Growth:  Principles and Extensions," in  W.  W.  Chu  and  T.  Y.  Lin  (eds.),  Recent  Advances  in  Data  Mining  and  Granular Computing (Mathematical Aspects of Knowledge Discovery), Springer Verlag, 2004.

24. P. Bajcsy, J. Han, L. Liu, J. Yang, "A Survey of Bio-Data Analysis from Data Mining Perspective," in D. Shasha, et al.  (eds.), Data Mining in Bioinformatics, Springer Verlag, 2004. pp. 9-39.

25. H. Yu, A.  Doan, and  J.  Han,  "Mining  for  Information  Discovery  on  the  Web:  Overview  and Illustrative Research," N. Zhong and J. Liu (eds.), Intelligent Technologies for Information Analysis, Springer Verlag, 2004, pp. 131-163.

2003

1.     P. Tzvetkov, X. Yan, and J. Han, “TSP: Mining Top-K Closed Sequential Patterns”,  Proc.  2003 Int. Conf. on Data Mining (ICDM'03), Melbourne, FL, Nov. 2003.

2.     Y.-K. Lee, W.-Y. Kim, Y. D. Cai, and J. Han, “CoMine: Efficient Mining of Correlated Patterns”,  Proc.  2003 Int. Conf. on Data Mining (ICDM'03), Melbourne, FL, Nov. 2003.

3.     C. Aggarwal, J. Han, J. Wang, and P. S. Yu, “A Framework for Clustering Evolving Data Streams”,  Proc.  2003 Int. Conf. on Very Large Data Bases (VLDB'03), Berlin, Germany, Sept. 2003.

4.     D. Xin, J. Han, X. Li, and B. W. Wah, “Star-Cubing: Computing Iceberg Cubes by Top-Down and Bottom-Up Integration”, Proc.  2003 Int. Conf. on Very Large Data Bases (VLDB'03), Berlin, Germany, Sept. 2003.

5.     X. Yan and J. Han, “CloseGraph: Mining Closed Frequent Graph Patterns”, Proc. 2003 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'03), Washington, D.C., Aug. 2003..

6.     H. Yu, J. Yang, and J. Han, “Classifying Large Data Sets Using SVM with Hierarchical Clusters”, Proc. 2003 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'03), Washington, D.C., Aug. 2003.    

7.     J. Wang, J. Han, and J. Pei, “CLOSET+: Searching for the Best Strategies for Mining Frequent Closed Itemsets”, Proc. 2003 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'03), Washington, D.C., Aug. 2003.

8.     H. Wang, W. Fan, P. S. Yu, and J. Han, “Mining Concept-Drifting Data Streams using Ensemble Classifiers”, Proc. 2003 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD'03), Washington, D.C., Aug. 2003.         

9.     C. Giannella, J. Han, J. Pei, X. Yan and P.S. Yu, “Mining Frequent Patterns in Data Streams at Multiple Time Granularities”, H. Kargupta, A. Joshi, K. Sivakumar, and Y. Yesha (eds.), Next Generation Data Mining, 2003.

10. X. Yin and J. Han, “CPAR: Classification based on Predictive Association Rules”, Proc. 2003 SIAM Int.Conf. on Data Mining (SDM'03), San Fransisco, CA, May 2003.

11. X. Yan, J. Han, and R. Afshar, “CloSpan: Mining Closed Sequential Patterns in Large Datasets”, Proc. 2003 SIAM Int.Conf. on Data Mining (SDM'03), San Fransisco, CA, May 2003.

12. K. Wang, Y. He, and J. Han, "Pushing Support Constraints Into Association Rules Mining", IEEE Transactions on Knowledge and Data Engineering, Vol. 15, No. 3, May/June 2003.

13. K. Wang, Y. Jiang, J. X. Yu, G. Dong, and J. Han, "Pushing Aggregate Constraints by Divide-and-Approximate", The IEEE International Conference on Data Engineering, 2003, Bangalore, India, Slides

14. Y. Lu and J. Han, "Cancer classification using gene expression data," Information Systems (Special Issue on Data Management in Bioinformatics), 28(4):243-268, 2003.

2002

1.     J. Han, J. Wang, Y. Lu, and P. Tzvetkov, “Mining Top-K Frequent Closed Patterns without Minimum Support”, Proc. 2002 Int. Conf. on Data Mining (ICDM'02), Maebashi, Japan, Dec. 2002.

2.     J. Pei, G. Dong, W. Zou, and J. Han, “On Computing Condensed Frequent Pattern Bases”, Proc. 2002 Int. Conf. on Data Mining (ICDM'02), Maebashi, Japan, Dec. 2002.

3.     X. Yan and J. Han, “gSpan: Graph-Based Substructure Pattern Mining”, Proc. 2002 Int. Conf. on Data Mining (ICDM'02), Maebashi, Japan, Dec. 2002.

4.     H. Yu, K. C. C. Chang, and J. Han, “Heterogeneous Learner for Web Page Classification”, Proc. 2002 Int. Conf. on Data Mining (ICDM'02), Maebashi, Japan, Dec. 2002.

5.     J. Han, and K. C.-C. Chang, “Data Mining for Web Intelligence”, Computer, Nov. 2002.

6.     J. Pei, J. Han, and W. Wang, “Mining Sequential Patterns with Constraints in Large Databases”, Proc. 2002 Int. Conf. on Information and Knowledge Management (CIKM'02), Washington, D.C., Nov. 2001.

7.     Y. Chen, G. Dong, J. Han, B. W. Wah, and J. Wang, “Multi-Dimensional Regression Analysis of Time-Series Data Streams “, Proc. 2002 Int. Conf. on Very Large Data Bases (VLDB'02), Hong Kong, China, Aug. 2002.

8.     L. V. S. Lakshmanan, J. Pei, and J. Han, " Quotient Cube: How to Summarize the Semantics of a Data Cube '', Proc. 2002 Int. Conf. on Very Large Data Bases (VLDB'02), Hong Kong, China, Aug. 2002.

9.     J. Han, R. B. Altman, V. Kumar, H. Mannila and D. Pregibon, “ Emerging Scientific Applications in Data Mining”,  Communications of ACM, 45(8):54-58, 2002.

10. H. Yu, J. Han, and K. C.-C. Chang, " PEBL: Positive Example Based Learning for Web Page Classification Using SVM '', Proc. 2002 Int. Conf. on Knowledge Discovery in Databases (KDD'02), Edmonton, Canada, July 2002.

11. J. Liu, Y. Pan, K. Wang, and J. Han, " Mining Frequent Item Sets by Opportunistic Projection '', Proc. 2002 Int. Conf. on Knowledge Discovery in Databases (KDD'02), Edmonton, Canada, July 2002.

12. J. Han,  “How Can Data Mining Help Bio-Data Analysis?”, Proc. 2002 Workshop on Data Mining in Bioinformatics (with SIGKDD02 Conf.)

13. (BIOKDD'02), Edmonton, Canada, July 2002.

14. J. Pei and J. Han, " Constrained Frequent Pattern Mining: A Pattern-Growth View '', ACM SIGKDD Explorations (Special Issue on Constrained Data Mining), 2(2), 2002.

15. J. Han, J. Wang, G. Dong, J. Pei, K. Wang. " CubeExplorer: Online Exploration of Data Cubes '', Proc. 2002 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD'02), Madison, WI, June 2002. (system demonstration).

16. J. Yang, P. Yu, W. Wang, and J. Han, '' Mining Long Sequential Patterns in a Noisy Environment '', Proc. 2002 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD'02), Madison, WI, June 2002.

17. Y. Chen, G. Dong, J. Han, J. Pei, B. W. Wah, and J. Wang, '' Online Analytical Processing Stream Data: Is It Feasible? '', Proc. 2002 ACM-SIGMOD Int. Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD'02), Madison, WI, June 2002.

18. K. Wang, S. Zhou, and J. Han, '' Profit Mining: From Patterns to Actions '', Proc. 2002 Int. Conf. on Extending Data Base Technology (EDBT'02), Prague, Czech, March 2002.

2001

1.     W. Li, J. Han, and J. Pei, '' CMAR: Accurate and Efficient Classification Based on Multiple Class-Association Rules, '', Proc. 2001 Int. Conf. on Data Mining (ICDM'01), San Jose, CA, Nov. 2001.

2.     J. Pei, J. Han, H. Lu, S. Nishio, S. Tang, and D. Yang, '' H-Mine: Hyper-Structure Mining of Frequent Patterns in Large Databases '', Proc. 2001 Int. Conf. on Data Mining (ICDM'01), San Jose, CA, Nov. 2001.

3.     H. Pinto, J. Han, J. Pei, K. Wang, Q. Chen, and U. Dayal, '' Multi-Dimensional Sequential Pattern Mining'', Proc. 2001 Int. Conf. on Information and Knowledge Management (CIKM'01), Atlanta, GA, Nov. 2001.

4.     J. Han, M. Kamber, and A. K. H. Tung, '' Spatial Clustering Methods in Data Mining: A Survey '', in H. Miller and J. Han (eds.), Geographic Data Mining and Knowledge Discovery, Taylor and Francis, 2001.

5.     G. Dong, J. Han, J. Lam, J. Pei, and K. Wang, '' Mining Multi-Dimensional Constrained Gradients in Data Cubes '', Proc. 2001 Int. Conf. on Very Large Data Bases (VLDB'01), Rome, Italy, Sept. 2001.

6.     S. H. S. Chee, J. Han, and K. Wang, '' RecTree: An Efficient Collaborative Filtering Method '', Proc. 2001 Int. Conf. on Data Warehouse and Knowledge Discovery (DaWaK'01), Munich, Germany, Sept. 2001.

7.     W. Jin, K.H. Tung and J. Han, '' Mining Top-n Local Outliers in Large Databases '', Proc. 2001 Int. Conf. on Knowledge Discovery in Databases (KDD'01), San Jose, California, Aug. 2001.

8.     J. Pei, A. K. H. Tung, and J. Han, '' Fault-Tolerant Frequent Pattern Mining: Problems and Challenges '', Proc. 2001 ACM-SIGMOD Int. Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD'01), Santa Barbara, CA, May 2001.

9.     J. Han, J. Pei, G. Dong, and K. Wang, '' Efficient Computation of Iceberg Cubes with Complex Measures '', Proc. 2001 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD'01), Santa Barbara, CA, May 2001.

10. J. Han, H. Jamil, Y. Lu, L. Chen, Y. Liao, and J. Pei, '' DNA-Miner: A System Prototype for Mining DNA Sequences '', Proc. 2001 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD'01), Santa Barbara, CA, May 2001 (system demonstration).

11. J. Pei, J. Han, H. Pinto, Q. Chen, U. Dayal, and M.-C. Hsu, '' PrefixSpan: Mining Sequential Patterns Efficiently by Prefix-Projected Pattern Growth '', Proc. 2001 Int. Conf. on Data Engineering (ICDE'01), Heidelberg, Germany, April 2001.

12. A. K. H. Tung, J. Hou, and J. Han, '' Spatial Clustering in the Presence of Obstacles '', Proc. 2001 Int. Conf. on Data Engineering (ICDE'01), Heidelberg, Germany, April 2001.

13. J. Pei, J. Han, and L. V. S. Lakshmanan, '' Mining Frequent Itemsets with Convertible Constraints '', Proc. 2001 Int. Conf. on Data Engineering (ICDE'01), Heidelberg, Germany, April 2001.

14. A. K. H. Tung, J. Han, L. V. S. Lakshmanan, and R. T. Ng, '' Constraint-Based Clustering in Large Databases '', Proc. 2001 Int. Conf. on Database Theory (ICDT'01), London, U.K., Jan. 2001.

2000

1.     J. Han and J. Pei '' Mining Frequent Patterns by Pattern-Growth: Methodology and Implications '', ACM SIGKDD Explorations (Special Issue on Scaleble Data Mining Algorithms), 2(2), December 2000.

2.     N. Stefanovic, J. Han, and K. Koperski, '' Object-Based Selective Materialization for Efficient Implementation of Spatial Data Cubes '', IEEE Transactions on Knowledge and Data Engineering, 12(6): 938-958, 2000.

3.     H. Lu, L. Feng, and J. Han, '' Beyond Intra-Transaction Association Analysis: Mining Multi-Dimensional Inter-Transaction Association Rules '', ACM Transactions on Information Systems, 18(4): 423-454, 2000.

4.     K. Wang, Y. He and J. Han, '' Mining Frequent Itemsets Using Support Constraints '', Proc. 2000 Int. Conf. on on Very Large Data Bases (VLDB'00), Cairo, Egypt, Sept. 2000.

5.     E. D. Kim, J. M. W. Lam, and J. Han, '' AIM: Approximate Intelligent Matching for Time Series Data '', 2000 Int. Conf. on Data Wareshouse and Knowledge Discovery (DaWaK'00), Greenwich, U.K., Sept. 2000.

6.     J. Han, J. Pei, B. Mortazavi-Asl, Q. Chen, U. Dayal, M.-C. Hsu, '' FreeSpan: Frequent Pattern-Projected Sequential Pattern Mining'', Proc. 2000 Int. Conf. on Knowledge Discovery and Data Mining (KDD'00), Boston, MA, August 2000.

7.     J. Pei and J. Han '' Can We Push More Constraints into Frequent Pattern Mining? '', Proc. 2000 Int. Conf. on Knowledge Discovery and Data Mining (KDD'00), Boston, MA, August 2000.

8.     J. Pei, J. Han, and R. Mao, '' CLOSET: An Efficient Algorithm for Mining Frequent Closed Itemsets (PDF) '', Proc. 2000 ACM-SIGMOD Int. Workshop on Data Mining and Knowledge Discovery (DMKD'00), Dallas, TX, May 2000.

9.     J. Han, J. Pei, and Y. Yin, '' Mining Frequent Patterns without Candidate Generation (PDF)'', (Slides), Proc. 2000 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD'00), Dallas, TX, May 2000.

10. J. Pei, R. Mao, K. Hu, and H. Zhu, '' Towards Data Mining Benchmarking: A Test Bed for Performance Study of Frequent Pattern Mining (PDF)'', Proc. 2000 ACM-SIGMOD Int. Conf. on Management of Data (SIGMOD'00), (demo paper), Dallas, TX, May 2000.

11. J. Pei, J. Han, B. Mortazavi-Asl, and H. Zhu '' Mining Access Patterns Efficiently from Web Logs (PDF)'', Proc. 2000 Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'00), Kyoto, Japan, April 2000.

12. A. K. H. Tung, J. Hou, and J. Han, '' COE: Clustering with Obstacles Entities, A Preliminary Study (PDF)'', Proc. 2000 Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'00), Kyoto, Japan, April 2000.

13. O. R. Zaïane, J. Han, and H. Zhu, '' Mining Recurrent Items in Multimedia with Progressive Resolution Refinement (PDF)'', Proc. 2000 Int. Conf. on Data Engineering (ICDE'00), San Diego, CA, March 2000.


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Other Papers on KDD
Selected Publications Since 2000
Selected Publications Before 2000
MSc. and Ph.D. Theses Related to Data Mining and Database Systems 

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