Selected Publications Since 2000
· Selected Publications Since 2000
· Selected Publications Before 2000
2010
1.
Xin Jin, Scott Spangler, Rui Ma, and Jiawei Han, Topic Initiator
Detection on the World Wide Web, Proc. 2010 Int. World Wide Web Conf. (WWW10),
Raleigh, NC, April 2010.
2.
Tim Weninger, William H. Hsu, and Jiawei Han, CETR Content
Extraction via Tag Ratios, Proc. 2010 Int. World Wide Web Conf. (WWW10),
Raleigh, NC, April 2010.
3.
Zhenhui Li, Ding Zhou, YunFang Juan, and Jiawei
Han, Keyword Extraction
for Social Snippets, Proc. 2010 Int. World Wide Web Conf. (WWW10),
Raleigh, NC, April 2010.
4.
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)
5. 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 (ICASSP10), Dallas, TX,
March 2010.
6.
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.
7. 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.
8. 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.
9. 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.
10. 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.
11.
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.
12.
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
.
13.
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.
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),
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),
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),
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),
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),
6. Tianyi Wu and Jiawei Han, Subspace Discovery
for Promotion: A Cell Clustering Approach", Proc. 12th Int. Conf. on Discovery
Science (DS'09),
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),
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),
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),
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),
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),
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),
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),
23. Xin Jin, Sangkyum Kim, Jiawei Han, Liangliang Cao,
and Zhijun Yin, GAD: General
Activity Detection for Fast Clustering on Large Data", Proc. 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
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),
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),
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),
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),
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),
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),
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
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
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
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
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),
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),
25. Dong Xin and Jiawei Han, "P-Cube:
Answering Preference Queries in Multi-Dimensional Space", Proc. 2008
Int. Conf. on Data Engineering (ICDE'08),
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
- 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.
- 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.
- 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),
- Deng Cai, Xiaofei He, and Jiawei Han, Efficient
Kernel Discriminant Analysis via Spectral Regression, Proc. 2007 Int.
Conf. on Data Mining (ICDM'07),
- 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),
- 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),
- Chao Liu, Tao Xie, and Jiawei Han,
"Mining for Software Reliability", ICDM'2007
Conference Tutorial,
- 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.
- Deng
Cai, Xiaofei He, and Jiawei Han,, Semi-supervised
Discriminant Analysis,
Proc. 2007 IEEE Int. Conf. on Computer Vision (ICCI'07),
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
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
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
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
20. Deng Cai, Xiaofei He and Jiawei
Han, Isometric
Projection, in Proc. 2007 AAAI Conf. on Artificial
Intelligence (AAAI-07), Vancouver , B. C., Canada
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
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
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),
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),
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.
- 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.
- Jianyong
Wang, Jiawei Han, and Chun Li, Frequent
Closed Sequence Mining without Candidate Maintenance, IEEE
Transactions on Knowledge and Data Engineering, 19(8), 2007.
- 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)
- 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).
- 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.
- 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),
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),
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),
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),
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),
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),
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),
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),
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 (ADMA06), XiAn, 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),
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
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),
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),
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),
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
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 Naοve 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),
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),
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),
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.
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
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),
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 (PKDD04), 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),
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),
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),
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),
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),
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),
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),
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),
20. J. Wang and J. Han, BIDE: Efficient Mining
of Frequent Closed Sequences, Proc. 2004 Int. Conf. on Data Engineering
(ICDE'04),
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,"
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
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
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),
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
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.
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.
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
11. X. Yan, J. Han, and R. Afshar, CloSpan: Mining
Closed Sequential Patterns in Large Datasets, Proc. 2003 SIAM San Fransisco , CA
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
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
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
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
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.
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
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),
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),
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),
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),
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),
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),
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),
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,
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),
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),
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),
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),
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),
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),
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),
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),
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),
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),
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),
13. O. R. Zaοane, 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.
Other Papers on KDD
Selected
Publications Since 2000
Selected
Publications Before 2000
MSc. and Ph.D.
Theses Related to Data Mining and Database Systems