Special issue of IEEE TFS


Subject: Special issue of IEEE TFS
From: Jim Keller (keller@cecs.missouri.edu)
Date: Mon Aug 28 2000 - 04:53:17 MET DST


Friends:

  I'd like to bring your attention to the call for papers for an upcoming
special issue of the IEEE Transactions on Fuzzy Systems, guest edited by
Dr. Enrique Ruspini. Details follow.

Best,

Jim Keller
Editor, IEEE TFS

********************************************************************
IEEE TRANSACTIONS ON FUZZY SYSTEMS

SPECIAL ISSUE

Soft Computing Methods for
Data Mining and Knowledge Discovery

Guest Editor
Enrique H. Ruspini
Artificial Intelligence Center
SRI International
333 Ravenswood Avenue
Menlo Park, California 94025, USA

Paper due: December 31, 2000
Issue Appears: Fall, 2001

The increased availability and accessibility of data repositories has led,
in recent years, to the development of numerous approaches for the
discovery of hidden structure in data and to their application to various
problems of high practical importance. Soft computing techniques and
methods have been successfully applied in the past both as tools for the
discovery of hidden structure in data and for its representation along
lines that facilitate such findings. Fuzzy logic and neural-network
approaches, for example, have long been applied to discover cluster
structures in large data sets. The broad optimization abilities of
evolutionary computation methods makes them also attractive as tools for
the solution of optimization problems arising from application of other
soft-computing approaches to model construction and synthesis.

This special issue of the Transactions on Fuzzy Systems will be devoted to
methods, based partially or fully on fuzzy-logic approaches, for the
discovery of structures, models, and interesting features and relations in
large data repositories and to novel examples of their application to
significant technological problems. Topics of interest include the
acquisition of soft models from data (including learning of possibilistic
networks and discovery of fuzzy rule sets), the discovery on interesting
features and structures in data-based representations of complex objects,
learning of models for database summarization, and the induction and
refinement of approximate models. The contributions should report on novel
methodologies (or their application) containing a significant fuzzy or
possibilistic component.

Submissions should be sent directly to the Guest Editor in accordance with
the TFS Instructions for Authors by December 31, 2000.

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