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
Deadlines
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
https://www.elen.ucl.ac.be/esann/index.php?pg=submission
and specify that your paper is for this special session.
Proceedings:
All accepted papers will be published in formal proceedings by ESANN conference
Information :
https://www.elen.ucl.ac.be/esann/index.php?pg=specsess
or
http://perso.rd.francetelecom.fr/lemaire/ESANN2014/
Contact:
Pascal Cuxac, - INIST - CNRS
2 allée du Parc de Brabois, CS 10310, 54519 Vandœuvre les Nancy Cedex
Email : pascal.cuxac[at]inist.fr
Jean-Charles Lamirel - LORIA – SYNALP Research Team
Campus Scientifique, BP. 239, 54506 Vandoeuvre les Nancy Cedex
Email : lamirel[at]loria.fr
Vincent Lemaire - Orange Labs
2 avenue Pierre Marzin, 2300 Lannion
Email: vincent.lemaire[at]orange.com
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