Paper presentations

DatePaperStudentHandouts
March 28 Sampling Large Databases for Association Rules
Hannu Toivonen, In Proc. 1996 Int. Conf. Very Large Data Bases
Scott Slides
March 28 Mining Free Itemsets under Constraints
Jean-François Boulicaut, Baptiste Jeudy
International Database Engineering and Application Symposium, 2001
Ananth Slides
March 28 Semi-Supervised Time Series Classification
Li Wei , Eamonn Keogh
in Proc. 2006 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Vahid Slides
March 30 A Support Vector Machine Approach for Detection of Microcalcifications
Issam El-Naqa, Yongyi Yang, Miles N. Wernick,Nikolas P. Galatsanos,Robert M. Nishikawa
IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 21, NO. 12, December 2002
Varun Slides
April 4 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
Ken Slides-Handouts
April 4 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
Amit Slides
April 4 Discriminative Frequent Pattern Analysis for E®ective Classification
Hong Cheng, Xifeng Yan, Jiawei Han, and Chih-Wei Hsu
Proc. 2007 International Conference on Data Engineering
Adhishek Slides
April 11 LinkClus: Efficient Clustering via Heterogeneous Semantic Links
Xiaoxin Yin, Jiawei Han, and Philip Yu
in Proc. 2006 Int. Conf. on Very Large Data Bases
JohnSlides
April 11 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
JeffSlides
April 11Efficient similarity search in sequence databases
Agrawal, R., Faloutsos, C. & Swami
In proc. 1993 International Conference on Foundations of Data Organization and Algorithms
Pouria