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Paper List

Weeks Topics Reading/Review
Week 1
(03/31/2009)
Data Mining Overview  
Week 1
(04/02/2009)
Frequent Pattern, Association Rule  
Week 2
(04/07/2009)
Classification I  
Week 2
(04/09/2009)
Classification II S. Kandula, R. Chandra, D. Katabi, What's Going On? Learning Communication Rules in Edge Networks,  SIGCOMM'08, 2008  (Guest Speaker: Ashish Sharma)
Week 3
(04/14/2009)
Clustering I A Strehl, J Ghosh, Cluster ensembles--a knowledge reuse framework for combining multiple partitions
 The Journal of Machine Learning Research, 2003 (First Review Due, Student Presentation Start)
Week 3
(04/16/2009)
Clustering II U. Luxburg, A Tutorial on Spectral Clustering. 2006
Week 4
(04/21/2009)
Collaborative Filtering Zheng, R., D. Wilkinson, and F. Provost. Social Network Collaborative Filtering. Working paper CeDER-8-08. Stern School of Business, New York University. September 2008
Week 4
(04/23/2009)
Text Mining I A Strehl, J Ghosh, R Mooney, Impact of similarity measures on web-page clustering, AAAI'00
Week 5
(04/28/2009)
Text Mining II T. Hofmann, Probabilistic Latent Semantic Indexing, SIGIR'99
Week 5
(04/30/2009)
Social Network Analysis I (reschedule) L. Adamic and B. Huberman, Information dynamics in a networked world.  Lecture Notes in Physics, Springer, 2003.
Further Reading,  http://www.cs.cornell.edu/Courses/cs6850/2008fa/
Week 6
(05/05/2009)
Social Network Analysis II A. Anagnostopoulos, R. Kumar, M. Mahdian: Influence and correlation in social networks. SIGKDD'08, 7-15.
Week 6(05/07/2009) OLAP and Data Cube D. Zhang, C. Zhai and J. Han, Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases, Proc. 2009 SIAM Int. Conf. on Data Mining (SDM'09)
Week 7
(05/12/2009)
Sequential Pattern Mining J. Kiernan, E. Terzi, Constructing Comprehensive Summaries of Large Event Sequences,  KDD'08
Week 7
(05/14/2009)
Biological Sequence Mining G Benson, Tandem repeats finder: a program to analyze DNA sequences, Nucleic Acids Research, Vol 27, Issue 2 573-580, 1999
Week 8
(05/19/2009)
Graph Pattern Mining H. Saigo, N. Krämer, K. Tsuda, Partial Least Squares Regression for Graph Mining, KDD'08
Week 8
(05/21/2009)
Stream Mining J. Kleinberg. Bursty and Hierarchical Structure in Streams. Proc. 8th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2002.
Week 9
(05/26/2009)
Time-series Analysis D. Yankov, E. Keogh, J. Medina, B. Chiu, V. Zordan, Detecting Time Series Motifs Under Uniform Scaling, KDD07
Week 9
(05/28/2009)
Privacy-preserving Data Mining A. Friedman, A. Schuster, and R. Wolff. Providing k-anonymity in data mining. VLDB Journal. 2008
Week 10
(06/02/2009)
Software Data Analysis M. Gabel and Z. Su, Javert: Fully Automatic Mining of General Temporal Properties from Dynamic Traces, FSE 2008
Week 10
(06/04/2009)
Visual Mining W. Cui, H. Zhou, H. Qu, P. Wong, and X. Li, Geometry-Based Edge Clustering for Graph Visualization, InfoVis 2008
Week 11
(06/09/2009)
Project presentation/demo  
Week 11
(06/11/2009)
Project presentation/demo Final report due