CFP

Journal of Experimental and Theoretical Artificial Intelligence (JETAI)
Special Issue on Concept Lattice-based theory, methods and tools for
Knowledge Discovery in Databases
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             >>>    First Call for Papers    <<<

Guest Editors:  E. Mephu Nguifo, M. Liqui�re and V. Duquenne

Deadline:  November 1st, 2001

Throughout the last decade, Knowledge Discovery in Databases (KDD)
has become an increasingly important topic in research as well as in
industrial applications.  KDD is highly interdisciplinary, benefiting
from diverse influences such as: Databases, Data Analysis, and
Machine Learning technology. Among these communities, there are
several sub-areas of research that can be unified by their common
interest in "concept lattice structures" which are starting to play an
important role in Data Mining.

Over the last two decades, research has demonstrated how
concept lattices formalize conceptual structures by coding any
kind of duality.  Conceptual lattices can be used to address a
variety of problems in Databases, Data Analysis, and Machine Learning.
Examples include :

- association rules or data dependencies in Databases, searching
frequent item sets, indexing documents for information retrieval...;

- exploring attributes in Data Analysis for binary as well as more
complex symbolic data structures...;

- designing concept lattices-based machine Learning Systems for
conceptual clustering and classifications...

Studies of concept lattices have generated diverse methods and tools.
Consequently, now is the right time to exchange and share
researchers' experiences and ideas in order to increase concept
lattice-based contributions to Knowledge Discovery in Databases.

IMPORTANT DATES:

Paper Submissions:                      November 1, 2001

Please direct any inquiries to Engelbert Mephu Nguifo:
mephu@cril.univ-artois.fr

Details on JETAI web site: http://www.tandf.co.uk