EE 380L

Paper	Presenters	Time Slot
Learning to Match and Cluster Large High-Dimensional Data Sets For Data Integration	Michael Wisor and Joseph Erwin	Feb 22
Hierarchical Model-Based Clustering of Large Datasets Through Fractionation and Refractionation	Barnabas and Liang Chen	Feb 22
Learning Simple Relations: Theory and Applications	Manoj Iyer and Anh Dang	Feb 22
Scalability for clustering algorithms revisited	Alvin Peng and Balaji Krishnamoorthy	Feb 22
Mining the Stock Market: Cluster Discovery	Eric Landry and Stephan Lips	Mar 21
Small is Beautiful: Discovering the Minimal Set of Unexpected Patterns	Philip Mitchell and Nadeem Eleyan	Mar 21
Why the Information Explosion Can Be Bad for Data Mining, and How Data Fusion Provides a Way Out	Diane Flemming and Jason Cheng	Apr 11
Transforming Data to Satisfy Privacy Constraints	Margot Bruce Casey and Anthony Thane	Apr 12
Customer Lifetime Value Modeling and Its Use for Customer Retention Planning	Kenneth Chuah and Tuan Vu	Apr 12
What's the Code? Automatic Classification of Source Code Archives	Jonathan Samn and Terry Thomas	Apr 12
Intermediaries: An Approach to Manipulating Information Streams	Stephen Wong and Armando Carrasco	Apr 12
Personalization from Incomplete Data: What you don’t know can hurt	Roger Borchers and Lee Feistel	May 9
Web Site Mining: A new way to spot Competitors, Customers and Suppliers in the World Wide Web	Daniel Stark and Kevin McInerney	May 9

EE 380L : Data Mining (ESE)