CLASS-L Archives

October 2013


Options: Use Monospaced Font
Show HTML Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
"CUXAC, Pascal" <[log in to unmask]>
Reply To:
Classification, clustering, and phylogeny estimation
Thu, 31 Oct 2013 11:06:49 +0100
text/plain (54 lines)
Call For Papers :

ESANN 2014 - Special Session : Incremental learning and novelty detection methods

The development of dynamic information analysis methods, like incremental clustering, concept drift management and novelty detection techniques, is becoming a central concern in a bunch of applications whose main goal is to deal with information which is varying over time.
These applications relate themselves to very various and highly strategic domains, including web mining, social network analysis, adaptive information retrieval, anomaly or intrusion detection, process control and management recommender systems, technological and scientific survey, and even genomic information analysis, in bioinformatics.
This special session aims to offer a meeting opportunity for academics and industry-related researchers, belonging to the various communities of Computational Intelligence, Machine Learning, Experimental Design and Data Mining to discuss new areas of incremental clustering, concept drift management and novelty detection and on their application to analysis of time varying information of various natures. The set of proposed incremental techniques includes, but is not limited to:

 novelty detection algorithms and techniques
 adaptive hierarchical, k-means or density based methods
 adaptive neural methods and associated Hebbian learning techniques
 multiview diachronic approaches
 probabilistic approaches for evolving data
 graph partitioning methods and incremental clustering approaches based on attributed graphs
 incremental clustering approaches based on swarm intelligence and genetic algorithms
 evolving classifier ensemble techniques
 dynamic variable selection techniques
 visualization methods for evolving data analysis results

  Submission of papers: 29 November 2013
  Notification of acceptance: 31 January 2014
  ESANN conference: 23 - 25 April 2014

Important - Submission Guidelines:
  Please follow the regular submission guidelines of ESANN 2014
  and specify that your paper is for this special session.

  All accepted papers will be published in formal proceedings by ESANN conference

Information :

  Pascal Cuxac, - INIST - CNRS
  2 allée du Parc de Brabois, CS 10310, 54519 Vandœuvre les Nancy Cedex
  Email : pascal.cuxac[at]

  Jean-Charles Lamirel - LORIA – SYNALP Research Team
  Campus Scientifique, BP. 239, 54506 Vandoeuvre les Nancy Cedex
  Email : lamirel[at]

  Vincent Lemaire - Orange Labs
  2 avenue Pierre Marzin, 2300 Lannion
  Email: vincent.lemaire[at]

CLASS-L list.