CFP

Call for Papers for the 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		New York, NY 10012
louiqa@umiacs.umd.edu atuzhili@stern.nyu.edu
(301) 405-2228

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