Dr. David Musicant
Carleton College

Thursday, December 2, 2004
Time/Place 11:00 am - 12:20 pm (HH 302)

Title 
=====
Data Mining with Support Vector Machines

Abstract
========

In recent years, massive quantities of business and research data have
been collected and stored, partly due to the plummeting cost of data
storage. The "support vector machine" is a popular and current machine
learning technique that performs quite well in solving data mining
problems such as analyzing census data, World Wide Web logs, or retail
sales databases. This talk will focus on describing what support vector
machines are and how they find good solutions to the above mentioned
problems.

Biographical Information
========================

Dave Musicant is an assistant professor of computer science at Carleton
College, where he has spent the last four years since receiving his
Ph.D. degree in computer sciences at the University of Wisconsin -
Madison. His research is in data mining and machine learning, and he
teaches classes at Carleton such as Artificial Intelligence, Data
Mining, Database Systems, and Programming Languages. When he is not busy
computing, he enjoys biking and playing electric bass.