International Workshop on Rule-Based Data Mining
Tokyo, Japan, Oct. 2001
Call for Papers
Overview

Interest in the field of data mining, which comprises the design and analysis of efficient methods for the extraction of patterns from large data sets, has grown enormously over the past decade. The many scientific, industrial, and commercial applications of such methods include genomic analysis, intrusion detection, and personalization systems for electronic commerce. This first International Workshop on Rule-Based Data Mining focuses on data mining techniques, tools, and applications that employ a rule-based formalism as a primary component. Association rule mining and rule induction machine learning comprise some of the better known sets of techniques within this category, and papers involving such techniques are of course welcome. However, the organizers hope to attract a broad spectrum of papers that highlight the use of rules within data mining theory and practice, in roles including but not limited to the primary representational formalism. RBDM2001 is being held in conjunction with the 14th International Conference on Applications of Prolog (INAP2001). Plans are underway for accepted papers to be published by Springer-Verlag in the Lecture Notes in Computer Science series.

Suggested Topics

association rule mining
rule induction
probabilistic rule-based systems
performance evaluation techniques
comparison of rule-based and other approaches
temporal and sequential data
bioinformatics and scientific applications
visualization of rule-based systems
applications in industry
descriptions of deployed systems
Organizing Committee

Sergio A. Alvarez (alvarez@cs.bc.edu)
Boston College
USA

Carolina Ruiz (ruiz@cs.wpi.edu)
Worcester Polytechnic Institute
USA
Program Committee

Sergio A. Alvarez
Boston College
USA

Tom Fawcett
Hewlett-Packard Labs
USA

Parke Godfrey
College of William and Mary
USA

Jarek Gryz
College of William and Mary
USA

Petr Hajek
Czech Academy of Sciences
Prague, Czech Republic

Tu Bao Ho
Japan Advanced Institute of Science and Technology
Ishikawa, Japan

Wynne Hsu
National University of Singapore
Singapore

Hasan M. Jamil
Mississippi State University
USA

Bing Liu
National University of Singapore
Singapore

Raymond Ng
University of British Columbia
Canada

Foster Provost
New York University
USA

Carolina Ruiz
Worcester Polytechnic Institute
USA

Myra Spiliopoulou
Handelshochschule Leipzig (HHL)
Germany

Geoffrey Webb
Deakin University
Australia

Mohammed Zaki
Rensselaer Polytechnic Institute
USA
Important Dates

Submission deadline: Sept. 1

Notification of acceptance/rejection: Sept. 21

Camera-ready papers due: Sept. 28

Submission Instructions

We invite interested authors to submit papers that have neither previously appeared nor are being considered for publication in other venues. Papers may describe new data mining techniques, evaluation of existing techniques, or experiences with data mining systems. Please see the non-exhaustive list of topics above. Note that at least one author of each accepted paper must register for INAP2001 and present the paper at the Workshop in Tokyo, Japan, October 20-22, 2001.

Papers should be sent as e-mail attachments in standard PDF (Portable Document Format) or PS (Postscript) formats. Send papers to one of the two members of the organizing committee at the e-mail addresses shown above, by the Sept. 1 deadline. The number of pages should not exceed 10 in 10 pt font. Given the very short time available for submission of camera-ready manuscripts after acceptance decisions are in (see Important Dates above), we strongly encourage authors to prepare initial submissions following Springer-Verlag's author guidelines for the Lecture Notes in Computer Science series as described at http://www.springer.de/comp/lncs/authors.html.

Web Page

The RBDM2001 web page is available at http://cs.bc.edu/~alvarez/RBDM2001.