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SUBSCRIBE CLASS-L Pascal Cuxac <[log in to unmask]>
Reply To:
Classification, clustering, and phylogeny estimation
Fri, 24 May 2013 03:00:45 -0400
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Call for papers

Workshop on



In conjunction with

INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2013, Dallas, Texas / December 8-11, 2013) []

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.

Important dates:

- Paper submission:		August 3, 2013
- Notification of acceptance:	September 24, 2013 
- Camera-ready:		October 15, 2013 
- ICDM 2013 Conference:	December 8, 2013 

Important - Submission Guidelines:

- Please follow the regular submission guidelines of ICDM 2013 (paper submissions should be limited to a maximum of *8* pages)


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Organizing committee (tentative):

- Abou-Nasr MahmoudFord	Motor Company,  USA
- Al Shehabi Shadi		Allepo University,   Syria
- Albatineh Ahmed N. 		Dept of Biostatistics Florida Int. U. Miami,  USA
- Alippi Cesare			Politecnico di Milano,    Italia
- Allan James			University of Massachusetts,    USA
- Arredondo Tomas 		U.T.F.S.M. Valparaíso,    Chile
- Athitsos Vassilis		University of Texas,     USA
- Bennani Younes		LIPN Paris,    France
- Bifet Albert			University of Waikato,     New Zealand
- Bondu Alexis 			EDF R&D,   France
- Chiang Jung-Tsien 		University of Tainan,     Taiwan
- Chawla Nitesh 		Notre Dame University, Indiana,     USA
- Chen Chaomei 		Drexel University, Philadelphia,    USA
- Cuxac Pascal			CNRS-INIST, Nancy,    France
- Diallo Abdoulaye B.		UQAM Montreal  Canada
- Dror Gideon			Academic college of Tel-Aviv, Yaffo,     Israel
- El Haddadi Anass 		IRIT, Toulouse,    France
- Escalante Hugo Jair		National Institute of Astrophysics Optics and Electronics,   Mexico
- Estevez Pablo			University of Santiago,   Chile
- Family Fazel 			National Research Council Ontario,  Canada
- García-Rodríguez José		University of Alicante,   Spain
- Glanzel Wolfgang		KU Leuven, Leuven,   Belgia
- Hammer Barbara		University of Bielefeld,  Germany
- He Jing-Hao			University of Rhode Island Kingston,     USA
- 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
- Lenca Philippe			Telecom Bretagne,    France
- Lemaire Vincent		Orange Labs, Lannion,     France
- Li Bin				UTS, Sydney,    Australia
- Loosli Gaelle			Polytech Clermont-Ferrand,    France
- Nuggent Rebecca		Carnegie Mellon University, Pittsburgh,     USA
- Popescu Florin 		Fraunhofer Institute, Berlin,     Germany
- Pudi Vikram			IIIT Hyderabad,    India
- Roveri Manuel		Politecnico di Milano,     Italia
- Silver Danny			 University of Acadia, Wolfville,    Canada
- Smith Tony C.			University of Waikato, Hamilton,    New Zealand
- Statnikov Alexander 		New York University,    USA
- Tamir Dan			Texas State University, San Marcos USA
- Torre Fabien			University of Lille3,     France
- Kotzinos Dimitris		ICS-Forth,     Greece
- Tseng Vincent 			University of Tainan,     Taiwan
- Vatsavai Ranga Raju		Oak Ridge National Laboratory,     USA
- Zhou Zhi-Hua			Nanjing University,    China
- Zhu Xingquan			UTS, Sydney,    Australia

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