CFP

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Second Bar-Ilan Workshop on Knowledge Discovery and Learning

May 31 - June 1, 2000

Bar-Ilan University, Ramat-Gan, Israel

   CALL FOR PAPERS/PRESENTATIONS

The Bar-Ilan Research Institute for Computer Science will sponsor a
workshop on Knowledge Discovery and Learning to be held May 31 and June 1, 2000
at the university.  Submissions of short papers or presentations from academia
and industry are solicited in this Call.

Invited speakers (to date):

	Shai Ben David (Technion)
	Haym Hirsh (Rutgers University)
	Yishay Mansour (Tel Aviv University)
	Naftaly Tishby (Hebrew University)
	Gyury Turan (University of Illinois, Chicago and University of Szeged)

Other participants to be announced.

Knowledge discovery is a broad discipline that integrates methods
from machine learning, statistics, databases, rule-based systems, and
other areas.  It includes algorithms for data selection, pattern
discovery, clustering, managing uncertainty, and trend analysis.
Computational learning theory is central to the underpinnings and
advances of this area.  This dual focus is the subject of this workshop.

Submissions are invited for research papers and presentations.
Topics to be covered include but are not limited to the following:
	Text Mining
	Pattern Matching for KDD
	Learning Theory
	Clustering
	Rule Extraction
	Algorithm Complexity and Lower Bounds
	Incremental Discovery Methods

A short 1-3 page extended abstract should be sent to
Prof. Martin Golumbic, (golumbic@cs.biu.ac.il) by April 30, 2000.
Decisions for acceptance will be ongoing and usually within 2 weeks
of the submission.  An on-line proceedings of extended abstracts
will be made available shortly before the workshop.

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