CFP: Workshop on Temporal Data Mining at KDD-2002

From: K. P. Unnikrishnan <unni_at_neuro.cs.gmr.com>
Date: 2 May 2002 17:24:36 +1000
Message-ID: <aaqpjk$3t3$1_at_mulga.cs.mu.OZ.AU>



Call for Papers                 

The Second Workshop on Temporal Data Mining July 23, 2002 - Edmonton, Alberta, CANADA

In conjunction with
The Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2002)

Papers due   : June 7 
Notification : June 21
Camera Ready : June 28

Much of the data contained in large databases has explicit or implicit temporal information. In spite of this, most of the data mining techniques tend to look for static relationships within the data. The aim of this workshop is to critically evaluate the need for temporal data mining and identify promising technologies and methodologies for doing the same.

Topics of interest include:

  • Foundational Issues in temporal data mining
  • Temporal Data Mining Techniques and Methodologies
  • Suitable data models and frameworks for temporal data mining
  • Suitable visualization techniques for temporal data mining
  • Incorporating domain knowledge for efficient temporal data mining
  • Scalability of temporal data mining algorithms
  • Mining of temporal data on the web

Paper submission:

Authors are invited to submit papers related to above topics. We encourage submissions that describe significant contributions to these areas as well as research that are at an early stage. We welcome survey, state-of-the-art, and position papers as well as papers that describe significant applications, software, systems, and solutions. Papers should be about 12 pages. An abstract and complete contact information should be included in a cover page. Please submit electronic copies to workshop co-chairs.

Workshop Co-Chairs:

K. P. Unnikrishnan
General Motors R&D Center
Phone: 586-986-1450, Fax: 586-986-0574 unni_at_gmr.com         

Ramasamy Uthurusamy
General Motors IS&S
Phone: 313-667-4669, Fax: 313-667-4616
samy_at_gm.com         

Program committee (tentative):

Rakesh Agrawal, IBM Almaden Research Center Vasant Dhar, New York University
Christos Faloutsos, Carnegie Mellon University Usama Fayyad, DigiMine
Johannes Gehrke, Cornell University
Joydeep Ghosh, University of Texas
C Lee Giles, Pennsylvania State University Jiawei Han, University of Illinois
Eamonn Keogh, University of California, Riverside Vipin Kumar, University of Minnesota
Heikki Mannila, Helsinki University of Technology Doug Martin, University of Washington
Ryszard Michalski, George Mason University Arlindo Oliveira, Lisbon Technical University John Roddick, Flinders University
P. S. Sastry, Indian Institute of Science Padhraic Smyth, Univerisity of California, Irvine Ramakrishnan Srikant, IBM Almaden Research Center Benjamin Wah, University of Illinois

[ comp.ai is moderated.  To submit, just post and be patient, or if ]
[ that fails mail your article to <comp-ai_at_moderators.isc.org>, and ]
[ ask your news administrator to fix the problems with your system. ]
Received on Thu May 02 2002 - 09:24:36 CEST

Original text of this message