CFPFrom: Nina Mishra Fox Date: Tue, 18 Jun 2002 13:00:06 -0700 Subject: MLJ Special Issue: Theoretical Advances in Data Clustering, deadline Dec 6, 2002 Call for Papers "Theoretical Advances in Data Clustering" Special Issue of Machine Learning journal
Guest Editors:
Data clustering, the problem of grouping similar objects together, has attracted significant practical attention due to modern applications like web document clustering, click stream analysis, multimedia applications, and telecommunication records. The field has experienced a corresponding theoretical surge due to recent algorithmic discoveries and novel methods of modeling the clustering problem. In this special issue, we seek papers that document theoretical advances related to data clustering. Topics of interest include, but are not limited to:
Review Criteria Submissions must not have appeared in, nor be under consideration by other journals. Exceptional surveys will be considered. Except in extraordinary circumstances, submissions should not exceed 35 pages (journal-formatted pages), excluding abstract/references. Submission Process Only electronic submissions will be accepted. Instructions for submission can be found at http://www.cs.ualberta.ca/~holte/mlj/initialsubmission.pdf In the text of your electronic submission, please explicitly state that the paper is for this special issue. In addition to submitting the paper to jml@wkap.com, please also submit to nmishra@hpl.hp.com. Important Dates Dec 6, 2002 Abstract submission. Dec 13, 2002 Full submissions should be received. May 27, 2003 Decisions sent to authors; papers accepted with no more than minor revisions accepted to the special issue. Dec 27, 2003 Final versions of accepted papers should be received in the format specified for full submissions, using Kluwer style guidelines. An online version of this call for papers can be found at: http://www.hpl.hp.com/personal/Nina_Mishra/MLJ-clustering.html
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