DATABASE RESEARCH GROUP SEMINAR

Data Mining: Scalable Techniques for Classification and Clustering

by Usama Fayyad
Microsoft Research
Date: Tuesday, March 9, 1999
Time: 4:30 PM to 6:00
Place: Rm. 101 - COC

ABSTRACT:

Knowledge Discovery in Databases (KDD) and Data Mining are concerned with the extraction of interesting structure from databases, especially large stores. The talk will focus on data mining methods. These methods have their origins in statistics, pattern recognition, learning, visualization, databases, optimization, and parallel computing. The speaker will discuss some classification and clustering methods and how they are scaled to large databases. He'll present results from their recent work to demonstrate that the methods can be effectively scaled to work with large databases where memory available is much smaller than database sizes. He will outline the research challenges and opportunities posed by the problem of extracting models from massive data sets. Applications will be used to motivate and illustrate the techniques.

USAMA FAYYAD:

Usama Fayyad is a Senior Researcher and head of data mining at Microsoft Research. His research interests include scaling data mining algorithms to large databases, learning algorithms, and statistical pattern recognition, especially classification and clustering. After receiving the Ph.D. degree from The University of Michigan, in 1991, he joined the Jet Propulsion Laboratory (JPL), Caltech, where he headed the Machine Learning Systems Group and developed data mining systems for automated science data analysis. He received the 1994 NASA Exceptional Achievement Medal for Excellence in Research for his work on developing data mining systems to solve challenging science analysis problems in astronomy and remote sensing. He is a co-editor of Advances in Knowledge Discovery and Data Mining (AAAI/MIT Press, 1996) and is an Editor-in-Chief of the journal: Data Mining and Knowledge Discovery. He was program co-chair of KDD-94 and KDD-95 International Conference on Knowledge Discovery and Data Mining). He co-chaired the 1997 Workshops on the role of KDD in Visualizations held at KDD-97 and IEEE Vis-97 conferences.
Contact: Sham Navathe