CFPFrom: Nina Mishra
Date: 06 Nov 2002
Subject: Spec. Issue of ML journal, Theoretical Advances in Data Clustering, deadline Dec 6, 2002
"Theoretical Advances in Data Clustering" Special Issue of Machine Learning journal
Nina Mishra, HP Labs/Stanford University
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:
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.
Only electronic submissions will be accepted. Instructions
for submission can be found at
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 email@example.com, please
also submit to firstname.lastname@example.org.
An online version of this call for papers can be found at:
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