Journal of Management Information Systems
Special Section on

"Data Mining and Knowledge Discovery"

The special section focuses on the management and business applications of data mining, inductive learning, knowledge acquisition, knowledge discovery, and inductive decision making. Topics include all aspects of data mining and knowledge discovery including i) the methodological issues in applying the tools, ii) the performance improvement through the integration of tools and techniques, iii) the exogenous factors to consider in modeling, iv) the interdisciplinary perspectives, and v) the economic foundations. The papers should describe how the techniques, tools, and models apply to a broad range of applications.

Special Section Co-Editors

H. Michael Chung (*)
Department of Information Systems
College of Business Administration
California State University, Long Beach
Long Beach, CA 90840-8506
TEL (562) 985-7691
FAX (562) 985-5543
hmchung@csulb.edu

Deadlines

March 1: Optional Abstract due
June 1: Full Paper due
July 31: Notification of Decisions

Paul Gray
Information Science
Claremont Graduate University
Claremont, CA 91711-6190
TEL (909) 621-8209
FAX (909) 621-8564
paul.gray@cgu.edu

Four copies of the manuscript should be
submitted. For detailed submission guidelines,
see the journal Web site,
http://rmm-java.stern.nyu.edu/jmis.
A disk copy (MS Word or equivalent)
is also required.

(Note) Please forward all papers to (*). For further information, please contact H.M. Chung.

Last Modified: January 30, 1998