CFP

KDD 2001 Workshop on Temporal Data Mining

To be held in conjunction with the 7th ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining (KDD-2001) August
26, 2001, San Francisco, CA, USA

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 for temporal data mining
Suitable 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
Interdisciplinary applications
Systems and Processes Aspects of temporal data mining

Deadlines:

June 15, 2001       Submission of papers
July 01, 2001       Notification of acceptance
July 16, 2001       Final version of accepted papers due

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 unni@gmr.com or samy@gm.com. Hardcopies can be
submitted to:

K.P. Unnikrishnan
General Motors R&D Center
MC 480-106-359,
Warren, MI 48090-9055, USA

Workshop Co-Chairs:

K. P. Unnikrishnan
General Motors R&D Center
Phone: 810-986-1450, Fax: 810-986-0574
unni@gmr.com

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

Program committee:

Usama Fayyad, DigiMine
Padhraic Smyth, University of California, Irvine
Vipin Kumar, University of Minnesota
Heikki Mannila, Helsinki University of Technology
C Lee Giles, Pennsylvania State University
Jia-Wei Han, Simon Fraser University