UT-Austin Data Mining Seminar Series

Fall 2008

Mailing List


Presentation schedule:

Date & Time Location Speaker Title Slides/Papers

To be scheduled

ACES 6.304 To be decided To be announced Abstract


Tentative Future Schedule:

Date & Time Location Speaker Title Slides/Papers

To be scheduled

ACES 2.302 To be decided To be announced Abstract


Past Speakers:

Date & Time Location Speaker Title Slides/Papers

Wed, March 19, 2008 @ 1:30pm

ACES 2.402 Joseph Sirosh
Amazon.com
How Analytics Is Revolutionizing E-Commerce Abstract

Thurs, April 05, 2007 @ 1:30pm

ACES 2.402 Katya Scheinberg
IBM T.J. Watson Research Center
Active set methods for large-scale support vector machines Abstract
Slides

Fri, March 30, 2007 @ 2:00pm

ACES 2.402 Renata Vieira
Universidade do Vale do Rio dos Sinos (UNISINOS)
Have I mentioned it? Abstract

Wed, March 14, 2007 @ 11:00am

ACES 6.304 Rong Jin
Michigan State University
Generalized Maximum Margin Clustering and Unsupervised Kernel Abstract

Wed, May 3, 2006 @ 4:00pm

ACES 2.302 Andrew Tomkins
Yahoo! Research
Routing and growth models for online social networks Abstract
Slides

Fri, Feb 10, 2006 @ 11:00am

ACES 6.304 Lise Getoor
University of Maryland - College Park
Link Mining Abstract

Tues, May 31, 2005 @ 11:00am

ACES 2.302 Mehran Sahami
Google Inc.
Using Machine Learning to Improve Information Finding on the Web Abstract

Fri, Nov 19, 2004 @ 3:00pm

ACES 2.302 Thomas G. Dietterich
Oregon State University
Three Challenges for Machine Learning Research Abstract

Thurs, Nov 11, 2004 @ 4:00pm

CBA 3.202 Foster Provost
New York University
Classification and Learning with Networked Data: some observations and results Abstract

Thurs, Sept 30, 2004 @ 2:00pm

ACES 2.302 Michael J. Pazzani
Division Director, Information and Intelligent Systems, National Science Foundation
Machine Learning for Personalized Wireless Portals Abstract
Fri, Aug 20, 2004 @ 11am ACES 2.302 Soumen Chakrabarti
Indian Institute of Technology - Boombay
Is question answering an acquired skill? Abstract
Fri, Apr 16, 2004 @ 11am ACES 6.304 Arindam Banerjee
University of Texas at Austin
Bregman Clustering and Co-clustering Abstract
Fri, Mar 26, 2004 @ 11am ACES 6.304 Inderjit S. Dhillon
University of Texas at Austin
Information-Theoretic Clustering, Co-clustering and Matrix Approximations Abstract
Slides
Fri, Mar 12, 2004 @ 11am ACES 6.304 Daniel Boley
University of Minnesota
Training Support Vector Machines via Adaptive Clustering Abstract
Fri, Oct 24, 2003 @ 11am ACES 2.302 Jiawei Han
University of Illinois - Urbana-Champaign
Mining Dynamics of Data Streams in Multidimensional Space Abstract
Tues, Aug 19, 2003 @ 10am ACES 2.302 David Page, Jr.
University of Wisconsin - Medison
Machine Learning in Cancer Genetics Abstract

Fri, Oct 25, 2002 @ 11am

ACES 6.304 Pedro Domingos
University of Washington
Learning From Networks of Examples Abstract

Fri, Feb 22, 2002 @ 11am

ACES 2.302 Andrew McCallum
WhizBang Lab. and Canegie Mellon University
Information Extraction with Finite State Models Abstract

Fri. Nov 2, 2001 @ 11am

ACES 6.304 Oren Etzioni
University of Washington - Seattle
Adaptive Web Sites Abstract

Fri. Oct 26, 2001 @ 10:30am

ACES 2.402 Foster Provost
New York University
Reviving the Learning Curve: A critical study of machine learning performance Abstract

Fri. Oct 5,   2001 @ 11am

ACES 2.302 Sridhar Rajagopalan
IBM Almaden Research Center
Three applications of data mining principles Abstract

Fri, Sept 21, 2001 @ 11am

ACES 2.302 Joseph Sirosh
HNC Software Inc.
Unit Vector Representations of Unstructured Information Abstract

Fri, Apr 27, 2001 @ 11am

ACES 2.302 Daniel Boley
University of Minnesota
A Scalable Hierarchical Algorithm for Unsupervised Clustering Abstract

Fri, Apr 20, 2001 @ 11am

ACES 2.302 David Scott
Rice University
Nonparametric Clustering for Data Mining Abstract

Fri, Apr 13, 2001 @ 11am

ACES 2.302 Ed George
University of Texas - Austin
Bayesian Treed Modeling Abstract

Fri, Mar 30, 2001 @ 11am

ACES 2.302 Gautam Das
Microsoft Research
A Robust, Optimization-Based Approach for Approximate Answering of Aggregate Queries Abstract

Fri, Mar 23, 2001 @ 11am

ACES 2.302 Joydeep Ghosh
University of Texas - Austin
Graphical Techniques for Efficient and Balanced Clustering of Very High-Dimensional Data Abstract
Slides
Fri, Feb 09, 2001 @ 11am ACES 2.302 Tom Mitchell
Carnegie Mellon University
and WhizBang! Labs
Machine Learning and Extracting Information from the Web Abstract
Fri, Nov 17, 2000 @ 11am ACES 2.302 Prabhakar Raghavan
Verity and Stanford University

Networks and Sub-Networks in the World-Wide Web
Meeting Signup Schedule

Abstract
Fri, Nov 10, 2000 @ 11am ACES 2.302 Jerry Friedman
Stanford University
Predictive Data Mining with Multiple Additive Regression Trees Abstract
Thurs, Nov 9, 2000 @ 11am ACES 2.302 Nick Street
University of Iowa
Feature Selection in Unsupervised Learning via Multi-Objective Evolutionary Search Abstract
Fri, Oct 27, 2000 @ 11am ACES 2.302 Raymond Mooney
University of Texas - Austin
Text Mining with Information Extraction Abstract
Fri, Oct 13, 2000 @ 11am ACES 2.302 Raghu Ramakrishnan
University of Wisconsin - Madison
Exploratory Analysis of Large Datasets Abstract
Fri, Sept 29, 2000 @ 11am ACES 2.302 Jaideep Srivastava
University of Minnesota and Yodlee.com
Web Mining: A Challenging Frontier for Data Mining Abstract
Slides
Mon, Sept 25, 2000 @ 1pm ACES 2.302 Peter Haas
IBM Almaden Research Center
Techniques for Online Exploration of Large Object-Relational Databases Abstract
Fri, Aug 4,   2000 @ 3pm Taylor Hall 3.128 Jude Shavlik
University of Wisconsin - Madison
Using Diverse Evidence Sources to Uncover Coordinately Controlled Genes via Machine Learning and Dynamic Programming Abstract
Thurs, Aug 3, 2000 @ 3pm Taylor Hall 3.128 Haym Hirsh
Rutgers University
Integrating Multiple Sources of Information in Text Classification Abstract
Wed, Apr 5, 2000 @ 4pm Taylor Hall 2.106 Dharmendra S. Modha
IBM Almaden Research Center
Clustering Hypertext with Applications to Web Searching Abstract

 


Information:


Organization

Comments? Need to schedule a seminar? Contact Inderjit Dhillon, Joydeep Ghosh, Ray Mooney, or Lynn Stokes.

This seminar series is organized with financial support from Tivoli.

See the Data Mining activities at UT Austin.


Last updated on Fall 2007 by hyukcho@cs.utexas.edu