Welcome to the URI Data Mining and Machine Learning Group. The
mission of the group is to disseminate information on data mining and
machine learning
including, but not limited to, algorithms, methodologies, statistical
foundations, and new results. We maintain an email list. If you would
like to receive notifications
about events or meetings regarding this group, please send an email
indicating
so to Dr. Lutz Hamel (hamel@cs.uri.edu
). We meet every Monday from 2-3pm in Tyler Hall, Room 126 on the
Kingston
Campus.
Upcoming Talks for the Fall 2003 semester:
| Date | Name |
Affiliation |
Title of the Talk |
| 9/22/03 |
Lutz Hamel |
URI |
New Results in Inductive
Equational Logic
Programming |
| 9/29/03 |
Mark Brosnan |
URI |
Mining
Behavioral Relationships |
| 10/6/03 |
Angela Uvarov |
URI |
Data Mining: Descriptive Modeling
Techniques |
| 10/20/03 |
Herb Edelstein |
Two Crows Corp. |
Data Mining:
State of the Practice |
| 10/27/03 |
Olga Zhaxybayeva |
UCONN |
Reconstructing the Tree/Web of Life |
| 11/3/03 |
Boriana Milenova |
Oracle Corp. |
Mining
Challenging Data with Support Vector
Machines |
| 11/10/03 |
Lutz Hamel |
URI |
Creative
Evolutionary Systems |
| 11/17/03 |
no talk |
||
| 11/24/03 |
Julie Goodside |
URI |
New Results in Mining IVF Data |
Previous Semesters:
Spring 2003
Selected Projects:
Analysis of IVF Data
Inductive Equational Logic
Programming
Creative
Evolutionary
Systems: Automatic Narrative Evolution
Background Material:
Introduction to Data
Mining and Knowledge Discovery, Third Edition, Two Crows
Corporation, 1999. Local copy in PDF
format.
Principles of Data Mining, David J. Hand, Heikki Mannila and
Padhraic Smyth, MIT Press, 2001.
Machine Learning, Tom Mitchell, McGraw-Hill, 1997.
Other Resources:
KDNuggets
ACM SIGKDD