<html><head><style type='text/css'>p { margin: 0; }</style></head><body><div style='font-family: times new roman,new york,times,serif; font-size: 12pt; color: #000000'>Last Call for papers Workshop on<br><br>INCREMENTAL CLASSIFICATION, CONCEPT DRIFT AND NOVELTY DETECTION <br><br>*** (Extended deadline August 17th 2013) ***<br><br>[http://perso.rd.francetelecom.fr/lemaire/ICDM2013/]<br><br>(IClaNov)<br><br>In conjunction with<br><br>INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2013, Dallas, Texas / December 7-11, 2013) <br>[http://icdm2013.rutgers.edu/]<br><br><br>Description:<br><br>The development of dynamic information analysis methods, like incremental clustering, concept drift <br>management and novelty detection techniques, is becoming a central concern in a bunch of applications <br>whose main goal is to deal with information which is varying over time.<br>These applications relate themselves to very various and highly strategic domains, including web mining, <br>social network analysis, adaptive information retrieval, anomaly or intrusion detection, process control <br>and management, recommender systems, technological and scientific survey, and even genomic <br>information analysis in bioinformatics.<br>The term “incremental” is often associated to the terms dynamics, adaptive, interactive, on-line, or <br>batch.<br>The majority of the learning methods were initially defined in a non incremental way. However, in each <br>of these families, were initiated incremental methods making it possible to take into account the <br>temporal component of a datastream.<br>In a more general way incremental clustering algorithms and novelty detection approaches are subjected <br>to the following constraints: <br>- Possibility to be applied without knowing as a preliminary all the data to be analyzed;<br>- Taking into account of a new data must be carried out without making intensive use of the already <br>considered data;<br>- Result must but available after insertion of all new data;<br>- Potential changes in the data description space must be taken into consideration;<br>- Independency of order of data arrival. <br><br>This workshop aims to offer a meeting opportunity for academics and industry-related researchers, <br>belonging to the various communities of Computational Intelligence, Machine Learning, Experimental <br>Design and Data Mining to discuss new areas of incremental clustering, concept drift management and <br>novelty detection and on their application to analysis of time varying information of various natures. <br>Another important aim of the workshop is to bridge the gap between data acquisition or <br>experimentation and model building.<br><br><br>The set of proposed incremental techniques includes, but is not limited to:<br><br>- Novelty and drift detection algorithms and techniques<br>- Adaptive hierarchical, k-means or density based methods<br>- Adaptive neural methods and associated Hebbian learning techniques<br>- Multiview diachronic approaches<br>- Probabilistic approaches like LDA or ICA-based approaches<br>- Graph partitioning methods and incremental clustering approaches based on attributed graphs<br>- Incremental clustering approaches based on swarm intelligence and genetic algorithms<br>- Evolving classifier ensemble techniques<br>- Dynamic features selection techniques<br>- Object tracking techniques<br>- Visualization methods for evolving data analysis results<br><br>The list of application domain is includes, but it is not limited to:<br><br>- Evolving textual information analysis<br>- Evolving social network analysis<br>- Dynamic process control and tracking<br>- Dynamic scene analysis<br>- Intrusion and anomaly detection<br>- Genomics and DNA microarray data analysis<br>- Adaptive recommender and filtering systems<br>- Scientometrics, webometrics and technological survey<br><br>All accepted workshop papers will be published in formal proceedings by the IEEE Computer Society <br>Press.<br><br>Invited speaker: Zhi-Hua Zhou, Nanjing University, China<br><br><br>Important dates:<br><br>- Paper submission: August 17, 2013 (Extended)<br>- Notification of acceptance: September 24, 2013 <br>- Camera-ready: October 15, 2013 <br>- ICDM 2013 Conference: December 7, 2013 <br><br>Important - Submission Guidelines:<br><br>- Please follow the regular submission guidelines of ICDM 2013 (paper submissions should be limited to a <br>maximum of *8* pages) http://icdm2013.rutgers.edu/author-instructions<br>- and use this link to submit your paper (IclaNov has the number 7 in the page): <br>http://wi-lab.com/cyberchair/2013/icdm13/scripts/ws_submit.php<br><br><br><br>Contact:<br><br>pascal.cuxac@inist.fr – jean-charles.lamirel@loria.fr - vincent.lemaire@orange.com, <br><br>Organizing committee:<br><br>Abou-Nasr Mahmoud Ford Motor Company USA<br>Al Shehabi Shadi Allepo University Syria<br>Albatineh Ahmed Dept of Biostatistics Florida Int. U. Miami USA<br>Alippi Cesare Politecnico di Milano Italia<br>Arredondo Tomas U.T.F.S.M. Valparaíso Chile<br>Bennani Younes LIPN, Paris France<br>Bifet Albert University of Waikato, Hamilton New Zealand<br>Bondu Alexis EDF R&D France<br>Cabanes Guenael LIPN, Paris France<br>Chawla Nitesh Notre Dame University, Indiana USA<br>Chen Chaomei Drexel University, Philadelphia USA<br>Cuxac Pascal INIST-CNRS, Nancy France<br>Diallo Abdoulaye B. UQAM Montreal Canada<br>El Haddadi Anass IRIT, Toulouse France<br>Escalante Hugo Jair National Institute of Astrophysics Optics and Electronics Mexico<br>García-Rodríguez José University of Alicante Spain<br>Glanzel Wolfgang KU Leuven, Leuven Belgia<br>Hammer Barbara University of Bielefeld Germany<br>Kumova Bora I. Izmir University Turkey<br>Kuntz-Cosperec Pascale Polytech'Nantes France<br>Lallich Stephane University of Lyon 2 France<br>Lamirel Jean-Charles TALARIS- LORIA, Nancy France<br>Lebbah Mustapha LIPN, Paris France<br>Lemaire Vincent Orange Labs, Lannion France<br>Lenca Philippe Telecom Bretagne France<br>Li Bin UTS, Sydney Australia<br>Nuggent Rebecca Carnegie Mellon University, Pittsburgh USA<br>Popescu Florin Fraunhofer Institute, Berlin Germany<br>Roveri Manuel Politecnico di Milano Italia<br>Tamir Dan Texas State University, San Marcos USA<br>Torre Fabien University of Lille 3 France<br>Zhou Zhi-Hua Nanjing University China<br>Zhu Xingquan UTS, Sydney Australia<br><br><div><span name="x"></span>Dr habil. Jean-Charles LAMIREL<br>Maître de Conférences, Habilité à Diriger des Recherches<br>Université de Strasbourg<br>Projet INRIA TALARIS - LORIA - Nancy<br>GSM : 0624365491<br><span name="x"></span><br></div><br></div></body></html>