CFP

			  CALL FOR PAPERS
	Special Issue of the INFORMS Journal on Computing

	Mining Web-based Data for e-Business Applications
		http://joc.pubs.informs.org/WebDM.html

Guest Editors: Louiqa Raschid (University of Maryland) and Alex Tuzhilin
(NYU)

Data mining techniques are increasingly being applied with great success to
large datasets in the WWW environment. The INFORMS Journal on Computing
(JoC) http://joc.pubs.informs.org/ solicits high-quality original papers
describing novel data mining methods and applications that have a potential
impact on the WWW. The Editors are particularly interested in methods that
span the boundaries of traditional disciplines of Computer Science,
OR/Management Science, and Statistics, and applications that span the
functional areas of Information Systems, Marketing, and Operations
Management. Topics of interest include (but are not limited to):

*	Techniques for collecting and organizing Web-based data.

*	Algorithms and techniques for analyzing this data.

*	Development of theoretical principles to reflect what can be gleaned
	from Web site visitors (customers, suppliers, employees, etc.), based
	on "touch-point" data (clickstream, registration, purchasing, etc.),
	combined with third-party and off-line data, both at the individual and
	the segment level.

*	Electronic Relationship Management (including Customer Relationship
	Management and Personalization) issues particular to the Web
	environment.

*	Privacy, security and trust issues.

*	Architectures and techniques for WWW Data Mining.

*	eBusiness applications (marketing, merchandizing, supply chain
	management, etc.) that may benefit from Web-based mining.

Papers will be published in the JoC in a special cluster on this topic in
the area of Knowledge and Data Mining. The Journal of Computing is a
publication of the Institute for Operations Research and Management Sciences
(INFORMS), and has a focus on the interface between operations research,
management science and computer science.

Submission Deadline: February 1, 2001.  A copy of the manuscript in PDF
format should be submitted by email to one of the Special Issue Editors:

Professor Louiqa Raschid			Professor Alex Tuzhilin
Smith School of Business			Information Systems Department
University of Maryland			Stern School of Business, NYU
College Park, Maryland 20742		44 West Fourth Street, Rm. 9-78
louiqa@umiacs.umd.edu New York, NY 10012
(301) 405-2228 atuzhili@stern.nyu.edu

Manuscripts should be prepared according to JoC guidelines. For more
information about JoC please contact Professor Basu, the Area Editor for
Knowledge and Data Mining:

		Professor Amit Basu
		Cox School of Business
		Southern Methodist University
		Dallas, TX 75275-0333
abasu@mail.cox.smu.edu
		214-768-8257