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Class Schedule
Class meets at every Thursday,
4:00-5:00pm, 3403 SC
Please check https://agora.cs.uiuc.edu/display/cs591hanfa08/Home
for any updates.
Two students per unit (20 minutes presentation
and 5 minutes discussion for each research paper, i.e., two papers will be
covered per class unit. However, we may
occasionally extend the discussion to 30 minutes, i.e., working on only one
paper per class unit time when needed).
You are encouraged to select the papers you
believe are interesting and in excellent quality. Strongly recommend to present the papers
published or to be published in 2004 or 2005.
Please discuss with the course instructor before you finalize your paper
selection.
Recommended conference
proceedings: KDD, SIGMOD, VLDB, PODS,
ICDE, WWW, ICDM, SDM, ICML, EDBT, CIKM,
PKDD, PAKDD, SSDBM, etc. You can access SIGMOD/PODS04 E-Proceedings, KDD04 E-Proceedings, VLDB04 E-Proceedings, ICDE05 E-Proceedings, SIGMOD/PODS05 E-Proceedings, KDD05 E-Proceedings, VLDB05 E-Proceedings, ICDE06 E-Proceedings, SIGMOD/PODS06 E-Proceedings, KDD06 E-Proceedings, VLDB06 E-Proceedings, ICDE07
E-Proceedings, SIGMOD/PODS07
E-Proceedings, KDD’07 E-Proceedings,
VLDB07 E-Proceedings, ICDM'07 E-Proceedings, ICDE'08 E-Proceedings, SIGMODPODS08 E-Proceedings, SIAM Data Mining (SDM) Conference
Proceedings, by clicking the corresponding links. Use citeseer or
other Web services to find the papers you want to select.
Recommended journals: IEEE
TKDE, DMKD (Data Mining and Knowledge Discovery), KDD Explorations, Machine
Learning, ACM Trans. Database Systems,
JIIS, Information Systems, VLDB Journal, Data and Knowledge Engineering,
Knowledge and Information Systems (KAIS), etc.
Survey papers will usually be allocated as one
full slot.
All the papers to be presented must give out the e-paper (one
week before the presentation) and e-slides (4 hours before the presentation).
Presentation Schedule for CS591 (Data Mining) Spring 2008
Week 1.
(Jan. 15) Tuesday 4-5pm 3403 SC
·
Hong Cheng: Towards Accurate and Efficient
Classification: A Frequent and Discriminative Pattern-based Approach
Week 2. (Jan.
23) Wed. 4-5pm 3403 SC
·
http://www.cs.uiuc.edu/homes/hanj/refs/kdd07/docs/p330.pdf
·
Week 3. (Jan. 30) No meeting, NSF meeting at D.C.
Week 4. (Feb. 6)
·
Chandra Ramachandran: Nikolay
Archak, Anindya Ghose, Panagiotis G. Ipeirotis: "Show me the
money!: Deriving the pricing power of product features by mining consumer
reviews," pp.56-65, KDD 2007.
(Presentation slides: http://netfiles.uiuc.edu/cramach2/shared/CS591.ppt)
·
Sang Kim: Sangkyum Kim, Xin Jin and
Week 5. (Feb. 13)
·
Hector Gonzalez: Mining Massive Moving Object
Datasets: From RFID Data Flow Analysis to Traffic Mining
Week 6. (Feb. 20)
·
Tianyi Wu: Yi Luo, Xuemin
Lin, Wei Wang, Xiaofang Zhou: SPARK: Top-k Keyword
Query in Relational Databases (SIGMOD 2007) http://www.itee.uq.edu.au/~zxf/_papers/SIGMOD07.pdf
·
Feida Zhu:
“Fast Best-effort Pattern Matching in Large
Attributed Graphs” by Hanghang Tong, Brian Gallagher,
Christos Faloutsos and Tina Eliassi-Rad,
KDD 07. http://www.cs.uiuc.edu/homes/hanj/refs/kdd07/docs/p737.pdf
Week 7. (Feb. 27)
·
Peixiang Zhao: B. Yu, G. Li, K. Sollins, A.
K. H. Tung, “Effective
Keyword-based Selection of Relational Databases”, SIGMOD’07.
·
Zhijun Yin: W. Dai,
G.-R. Xue, Q. Yang, Y. Yu, “Co-clustering
Based Classification for Out-of-domain Documents”, KDD'07
Week 8. (March 5)
·
Xiaolei Li: 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.
·
Liangliang Cao: (1)
T. Quack, et al: Efficient
Mining of Frequent and Distinctive Feature Configurations, ICCV 2007; (2)S.
Nowozin, et al: Discriminative
Subsequence Mining for Action Classification, ICCV 2007
Week 9. (March 11) Please note the time
is changed to Tuesday for this week only!
·
Bolin Ding: Jiexing
Li, Yufei Tao, Xiaokui
Xiao: Preservation of Proximity Privacy in Publishing Numerical Sensitive Data.
SIGMOD08. http://www.cse.cuhk.edu.hk/~taoyf/paper/sigmod08-numeric.html
·
Zhenhui Li: Doug Burdick, AnHai
Doan, Raghu Ramakrishnan, Shivakumar Vaithyanathan. OLAP
over Imprecise Data with Domain Constraints. VLDB 2007, p.39
Week 10. (March 19) No meeting, Spring
break
Week 11. (March 26) No meeting, NASA
meeting in California
Week 12. (April 2)
·
Jing Gao: H. Becker, M. Arias (
·
Yizhou Sun: B. Long, Z. Zhang (
Week 13. (April 9) No meeting, ICDE’08
Week 14. (April 16)
- Xide Lin: Jason Hartline (Northwestern U.), Vahab S. Mirrokni (Microsoft Research) and Mukund Sundararajan (Stanford U.), Optimal Marketing Strategies over Social
Networks, WWW’08, www.cs.uiuc.edu/homes/hanj/refs/cs591/08s/www08.pdf
- ICDE’08 report (Deng Cai, Jae-Gil Lee, and Jiawei
Han)
Week 15. (April 23)
·
Chen Chen: J. Cheng, Y. Ke, W. Ng, and A. Lu. FG-Index: Towards Verification-Free Query Processing
on Graph Databases. SIGMOD’07. www.cs.ust.hk/~csjames/FGindex_sigmod07.pdf
·
Min-Soo Kim: Jimeng Sun, Spiros Papadimitriou,
Philip S. Yu, Christos Faloutsos, “GraphScope: Parameter-free Mining of Large
Time-evolving Graphs,” in KDD 2007.
Week 16. Thursday (May 1)
·
Xin Jin: Bansal, N., Chiang, F., Koudas,
N., and Tompa, F. W. Seeking Stable Clusters in
the Blogosphere. (VLDB
2007 ). www.blogscope.net/about/docs/stable-clusters-vldb07.pdf (www.vldb2007.org/program/slides/s806-bansal.pdf)
·
SDM’08 report (Sang Kim)
Week 17. Monday (May 5) 2-5pm 3403 SC
·
Data Mining Group semester summary