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:

• The ACES building (201 East 24th Street | Austin, Texas 78712 | ph. 512.232.9090). ACES is a new building on the intersection of 24th and Speedway
  
  

• Parking: We suggest parking garage 1 (PG1) at San Jacinto and 24th

• Need directions? Here are maps showing:

  • Scalable Yahoo map of 24th and Speedway
  • The UT Campus Area
  • Submap including the ACES building
  • Submap including ENS
  • Submap including Taylor Hall
  • Submap including Parking Garage #1

Organization

This seminar series is organized with financial support from Tivoli.

See the Data Mining activities at UT Austin.