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 ---------------------------------------------- CLASS-L list. Instructions: http://www.classification-society.org/csna/lists.html#class-l
