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

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.

List of Accepted Papers

The Itemset's Lifespan Approach to Discovering General Temporal Association Rules

Juan M. Ale, Gustavo H. Rossi

 

Using Context-Free Grammars to Constrain Apriori-based Algorithms for Mining Temporal Association Rules

Claudia M. Antunes, Arlindo L. Oliveira

 

A Formalism for Temporal Rules

Paul Cotofrei, Kilian Stoffel

 

Efficient Mining of Locally Frequent Patterns from Temporal Sequence

Xiaoming Jin, Yuchang Lu, Chunyi Shi

 

Generalized Frequent Episodes in Event Sequences

Srivatsan Laxman, K. P. Unnikrishnan, P. S. Sastry

 

Finding Motifs in Time Series

Jessica Lin, Eamonn Keogh, Stefano Lonardi, Pranav Patel

 

Image Time Series Mining for Dynamic Scene Understanding

Heas Patrick, Mihai Datcu, Alain Giros

 

Temporal Data Mining for the Discovery and Analysis of Ocean Climate Indices

Michael Steinbach, Pang-Ning Tan, Vipin Kumar, Steven Klooster, Christopher Potter

 

An Algorithm to Discover Calendar-based Temporal Association Rules with Item's Lifespan Restriction

Geraldo Zimbrao, Jano Moreira de Souza, Victor Teixeira de Almeida, Wanderson Araujo da Silva

 

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@gmr.com ����������

�����������������������������������������������������������������������������������

Ramasamy Uthurusamy

General Motors IS&S

Phone: 313-667-4669, Fax: 313-667-4616

samy@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