[Corpora-List] Last CFP - ICDM Workshop on INCREMENTAL CLASSIFICATION, CONCEPT DRIFT AND NOVELTY DETECTION

Sat Jul 20 09:26:10 UTC 2013

Last Call for papers Workshop on 

INCREMENTAL CLASSIFICATION, CONCEPT DRIFT AND NOVELTY DETECTION 

[http://perso.rd.francetelecom.fr/lemaire/ICDM2013/] 

(IClaNov) 

In conjunction with 

INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2013, Dallas, Texas / December 7-11, 2013) 
[http://icdm2013.rutgers.edu/] 

Description: 
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. 
The term “incremental” is often associated to the terms dynamics, adaptive, interactive, on-line, or 
batch. 
The majority of the learning methods were initially defined in a non incremental way. However, in each 
of these families, were initiated incremental methods making it possible to take into account the 
temporal component of a datastream. 
In a more general way incremental clustering algorithms and novelty detection approaches are subjected 
to the following constraints: 
- Possibility to be applied without knowing as a preliminary all the data to be analyzed; 
- Taking into account of a new data must be carried out without making intensive use of the already 
considered data; 
- Result must but available after insertion of all new data; 
- Potential changes in the data description space must be taken into consideration; 
- Independency of order of data arrival. 

This workshop 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. 
Another important aim of the workshop is to bridge the gap between data acquisition or 
experimentation and model building. 

The set of proposed incremental techniques includes, but is not limited to: 

- Novelty and drift 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 like LDA or ICA-based approaches 
- 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 features selection techniques 
- Object tracking techniques 
- Visualization methods for evolving data analysis results 

The list of application domain is includes, but it is not limited to: 

- Evolving textual information analysis 
- Evolving social network analysis 
- Dynamic process control and tracking 
- Dynamic scene analysis 
- Intrusion and anomaly detection 
- Genomics and DNA microarray data analysis 
- Adaptive recommender and filtering systems 
- Scientometrics, webometrics and technological survey 

All accepted workshop papers will be published in formal proceedings by the IEEE Computer Society 
Press. 

Invited speaker: Zhi-Hua Zhou, Nanjing University, China 

Important dates: 

- Paper submission: August 3, 2013 
- Notification of acceptance: September 24, 2013 
- Camera-ready: October 15, 2013 
- ICDM 2013 Conference: December 7, 2013 

Important - Submission Guidelines: 

- Please follow the regular submission guidelines of ICDM 2013 (paper submissions should be limited to a 
maximum of *8* pages) http://icdm2013.rutgers.edu/author-instructions 
- and use this link to submit your paper (IclaNov has the number 7 in the page): 
http://wi-lab.com/cyberchair/2013/icdm13/scripts/ws_submit.php 

Contact: 

pascal.cuxac at inist.fr – jean-charles.lamirel at loria.fr - vincent.lemaire at orange.com, 

Organizing committee: 

Abou-Nasr Mahmoud Ford Motor Company USA 
Al Shehabi Shadi Allepo University Syria 
Albatineh Ahmed Dept of Biostatistics Florida Int. U. Miami USA 
Alippi Cesare Politecnico di Milano Italia 
Arredondo Tomas U.T.F.S.M. Valparaíso Chile 
Bennani Younes LIPN, Paris France 
Bifet Albert University of Waikato, Hamilton New Zealand 
Bondu Alexis EDF R&D France 
Cabanes Guenael LIPN, Paris France 
Chawla Nitesh Notre Dame University, Indiana USA 
Chen Chaomei Drexel University, Philadelphia USA 
Cuxac Pascal INIST-CNRS, Nancy France 
Diallo Abdoulaye B. UQAM Montreal Canada 
El Haddadi Anass IRIT, Toulouse France 
Escalante Hugo Jair National Institute of Astrophysics Optics and Electronics Mexico 
García-Rodríguez José University of Alicante Spain 
Glanzel Wolfgang KU Leuven, Leuven Belgia 
Hammer Barbara University of Bielefeld Germany 
Kumova Bora I. Izmir University Turkey 
Kuntz-Cosperec Pascale Polytech'Nantes France 
Lallich Stephane University of Lyon 2 France 
Lamirel Jean-Charles TALARIS- LORIA, Nancy France 
Lebbah Mustapha LIPN, Paris France 
Lemaire Vincent Orange Labs, Lannion France 
Lenca Philippe Telecom Bretagne France 
Li Bin UTS, Sydney Australia 
Nuggent Rebecca Carnegie Mellon University, Pittsburgh USA 
Popescu Florin Fraunhofer Institute, Berlin Germany 
Roveri Manuel Politecnico di Milano Italia 
Tamir Dan Texas State University, San Marcos USA 
Torre Fabien University of Lille 3 France 
Zhou Zhi-Hua Nanjing University China 
Zhu Xingquan UTS, Sydney Australia 

Dr habil. Jean-Charles LAMIREL 
Maître de Conférences, Habilité à Diriger des Recherches 
Université de Strasbourg 
Projet INRIA TALARIS - LORIA - Nancy 
GSM : 0624365491 

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