Paper presentations

The presentation should take a maximum of 30 minutes. The slides should be sent to the instructor before the presentation so that these slides could be made available to the whole class.
The presentations are peer-evaluated.

#DatePaperStudentHandouts
1October 30 Sampling Large Databases for Association Rules
Hannu Toivonen, In Proc. 1996 Int. Conf. Very Large Data Bases
Farzaneh  
2October 30 Mining Free Itemsets under Constraints
Jean-François Boulicaut, Baptiste Jeudy
International Database Engineering and Application Symposium, 2001
Shuang [Slides]
3November 1 Semi-Supervised Time Series Classification
Li Wei , Eamonn Keogh
in Proc. 2006 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Mojdeh [Slides]
4November 1 Spatial Data Mining: Progress and Challenges Survey paper
Krzysztof Koperski, Junas Adhikary, Jiawei Han
Workshop on Research Issues on Data Mining and Knowledge Discovery, 1996
Bradley [Slides]
5November 1 COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation
Mohammad El-Hajj and Osmar R. Zaiane
Workshop on Frequent Itemset Mining Implementations, 2003
Ying [Slides]
6November 20 Detecting Change in Categorical Data: Mining Contrast Sets
Stephen D. Bay, Michael J. Pazzani
In Proc. 1999 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Camilo [Slides]
7November 20 On Detecting Differences Between Groups
Geoffrey I. Webb, Shane M. Butler, Douglas Newlands
In Proc. 2003 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Yi [Slides]
8 November 20 Group SAX: Extending the Notion of Contrast Sets to Time Series and Multimedia Data
Jessica Lin, Eamonn J. Keogh
10th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2006
Dave [Slides]
9 November 22 Lazzy Associative Classification
Adriano Veloso, Wagner Meira Jr., Mohammed Zaki
IEEE ICDM 2006
Fariba [Slides]
10 November 22 Discriminative Frequent Pattern Analysis for Effective Classification
Hong Cheng, Xifeng Yan, Jiawei Han, and Chih-Wei Hsu
Proc. 2007 International Conference on Data Engineering
Han [Slides]
11November 22Top-Down Mining of Frequent Patterns from Very High Dimensional Data (short paper)
Hongyan Liu, Jiawei Han, Dong Xin, Zheng Shao
ICDE 2006
Mining Interesting Patterns from Very High Dimensional Data: A Top-Down Row Enumeration Approach
Hongyan Liu, Jiawei Han, Dong Xin, Zheng Shao
SIAM SDM 2006.
Jiaofen [Slides]
12 November 27 Discovering Interesting Patterns Through User's Interactive Feedback
Dong Xin, Xuehua Shen, Qiaozhu Mei, and Jiawei Han
in Proc. 2006 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Wei [Slides]
13November 27Journal Status
J. Bollen, M. Rodriguez, H. Van de Sompel
Scientometrics, Volume 69, n3, pp 669-687, 2006
Yavar [Slides]
14November 27High Confidence Rule Mining for Microarray Analysis
Tara McIntosh, Sanjay Chawla
IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
Kang [Slides]
15November 29Carpenter: finding closed patterns in long biological datasets
Feng Pan, Gao Cong, Anthony K. H. Tung, Jiong Yang, Mohammed J. Zaki
ACM SIGKDD 2003 (Also available here)
Zhiyu [Slides]
16November 29 LinkClus: Efficient Clustering via Heterogeneous Semantic Links
Xiaoxin Yin, Jiawei Han, and Philip Yu
in Proc. 2006 Int. Conf. on Very Large Data Bases
Naimeh [Slides]
17November 29Geometrically Inspired Itemset Mining
Florian Verhein, Sanjay Chawla
IEEE ICDM 2006
Ci [Slides]