National Science Foundation Workshop 

on Next Generation DataMining 

(NGDM'02)

Workshop Program

Friday, November 1, 2002

7:008:00am

Breakfast, Registration

8:008:05am

Welcome remarks Organizers

8:058:15am

Welcome remarks Michael Pazzani, (NSF, University of California Irvine)

Next Generation Data Mining: Thinking out of the box hyper-rectangle

Counter Terrorism and Data Mining

8:158:45am

Kenneth D. Mandl (Harvard Medical School)

Infrastructure and Methods to Support Real Time Biosurveillance

8:459:15am

Steve Kornguth (University of Texas at Austin)

A New Paradigm for Management of Biological and Chemical Threats

9:159:45am

John R. James (US Military Academy)

Allocation of Data Mining Resources: A System Partitioning and Hybrid Control Framework

9:4510:15am

Paul Dokas, Levent Ertoz, Vipin Kumar, Aleksandar Lazarevic, Jaideep Srivastava, Pang-Nig Tan (University of Minnesota)

Data Mining for Network Intrusion Detection                                              

10:1510:30am

Coffee Break

10:3011:00am

Daniel Barbara, James Nolan, David Schum, Arun Sood (Geroge Mason)

Marshalling Evidence Through Data Mining 

11:0011:30am

Ted Senator (DARPA)

Data Mining for Connecting the Dots 

11:3012:00am

Raymond J. Mooney, Prem Melville, Lappoon Rupert Tang, Jude Shavlik, Ines de Castro Dutra, David Page, Vitor Santos Costa (UT Austin)

Relational Data Mining with Inductive Logic Programming for Link Discovery

12:001:15pm

Lunch (on your own)

1:153:00pm

Panel: Gary Strong (NSF), Kevin Hurst (Whitehouse), Claudia Pearce (NSA), Bhavani Thuraisingham (NSF)

Topic: Counter-Terrorism and Data Mining: Challenges, Resources, and Directions

3:003:15pm

Coffee Break

Web, Semantics, and Data Mining  

3:153:45pm

Daniel Billsus, Craig Evans, Raymond Klefstad, Michael J. Pazzani  (NSF, University of California Irvine)

Adaptive Personalization for Mobile Content Delivery

3:454:15pm

Jaideep Srivastava, Prasanna Desikan, Vipin Kumar (University of Minnesota)

Web Mining Accomplishments & Future Directions

4:154:45pm

Anupam Joshi, Jeffrey Undercoffer (UMBC)

On Web, Semantics, and Data Mining: Intrusion Detection as a Case Study 

4:455:15pm

James Z. Wang, Jia Li (Penn State University)

Mining Digital Imagery Data for Automatic Linguistic Indexing of Pictures 

5:155:45pm

Gerd Stumme, Andreas Hotho (Univ. of Karlsruhe), Bettta Berendt (Humboldt University)

Using Mining for and on the Semantic Web 

6:30pm

Dinner (on your own)

 

 

 

Saturday, Nov 2, 2002 

7:008:00am

Breakfast, Registration

8:00am

Announcements, remarks

Web, Semantics, and Data Mining

8:008:30am

Lee Giles (Penn State University)

Future Directions in Internet Data Mining

8:309:30am

Panel: Tim Finin (UMBC), Louiqa Raschid (UMD), Padmini Srinivasan (NLM/University of Iowa)

Topic: Next Generation Web and Text Mining: Emerging Developments 
and Challenges.

Pervasive, Distributed, and Stream Data Mining 

9:3010:00am

Christos Faloutsos (Carnegie Mellon University)

Sensor Data Mining

10:0010:30am

Jiawei Han (University of Illinois Urbana-Champaign)

Mining Unusual Patterns by Multi-Dimensional Analysis of Data Streams

10:3010:45am

Coffee Break

10:4511:15am

Joydeep Ghosh, Alexander Strehl, Srujana Merugu (University of Texas at Austin)

A Consensus Framework for Integrating Distributed Clusterings Under Limited Knowledge Sharing 

11:1511:45am

Hillol Kargupta (UMBC)

Distributed Data Mining for Pervasive and Privacy Sensitive Applications

11:4512:15pm

Robert L. Grossman, Yunhong Gu, Dave Hanley, Xinwei Hong, Jorge Levera, Marco Mazzucco (University of Illinois Chicago), Lillethun, Mambretti, Weinberger (Northwestern University)

Photonic Data Services: Integrating Path, Network and Data Services to Support Next Generation Data Mining Applications

12:152:00pm

Working buffet lunch + Posters + Demos

2:002:30pm

Chris Clifton, Murat Kantarcioglu, Jaideep Vaidya (Purdue University)

Defining Privacy for Data Mining

2:303:00pm

Herve Bronnimann, Bin Chen, Manoranjan Dash, Peter Haas, Yi Qiao, Peter Scheuermann (Northwestern University)

Efficient Data-Reduction Methods for On-Line Association Rule Discovery 

3:003:15pm

Coffee Break

3:153:45pm

Alan Demers, Johannes Gehrke, Mirek Riedewald (Cornell University)

Research Issues in Distributed Mining and Monitoring 

3:454:15pm

Steve Tanner, Sara Graves, R. Ramachandran, M. Alshayeb, E. Criswell, A. McDowell, M. McEniry, K. Regner (University of Alabama, Huntsville)

On-Board Mining in the Sensor Web 

4:154:45pm

Milind R. Naphade, Chung-Sheng Li (IBM T.J. Watson Research Center), Thomas S. Huang (University of Illinois Urbana-Champaign)

Discovering Recurrent Events in Multichannel Data Streams Using Unsupervised Methods

4:455:45pm

Panel: Jiawei Han (UIUC), Maria Zemankova (NSF), Hillol Kargupta 
(UMBC), Menas Kafatos (George Mason University).

Topic:Pervasive, Distributed, and Data Stream Mining: Emerging Developments and Challenges.

7:00pm

Banquet dinner: Baltimore National Aquarium.

Speaker: Dr. N. Radhakrishnan, Director, Computational and Information Sciences Directorate, Army Research Laboratory.

Titile: Information Assurance and Data Mining

 

 

 

Sunday, November 3, 2002 

7:008:00am

Breakfast, Registration

8:00am

Announcements, remarks

Scientific Data Mining 

8:008:30am

Alex Szalay (Johns Hopkins University)

Analyzing Large Scale Data Sets in Astronomy

8:309:00am

Mohammed Zaki (Renseller Polytechnique Institute)

Directions in Protein Contact Map Mining

9:009:30am

Michihiro Kuramochi, Mukund Deshpande, George Karypis (University of Minnesota)

Mining Scientific Data Sets using Graphs 

9:3010:00am

R. Machiraju, S. Parthasarathy, J Wilkins, D. Thompson, B. Gatlin, D. Richie, T. Choy, M. Jiang, S. Mehta, M. Coatney, S. Barr  (Ohio State University)

Mining of Complex Evolutionary Phenomena

10:0010:30am

Nabil Adam (Rutgers University)

Environmental Data Warehousing and Mining: Some Challenges 

10:3010:45am

Coffee Break

10:4512:15pm

Panel: Zoran Obradovic (Temple University), Joe Coughlan (NASA Ames), Francoise Seiller (Director, Center for Bioinformatics,UMBC/UMB), Jonathan Javitt (Potomac Institute for Policy Studies)

Topic: Scientific Data Mining: Emerging Developments and Challenges.

12:1512:30pm

Closing remarks