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

Sat Jul 20 15:49:27 UTC 2013

And they told me you couldn't make money studying language change!

-------- Original Message --------
Subject: 	[Corpora-List] Last CFP - ICDM Workshop on INCREMENTAL 
CLASSIFICATION, CONCEPT DRIFT AND NOVELTY DETECTION
Date: 	Sat, 20 Jul 2013 11:26:10 +0200 (CEST)
From: 	Jean-Charles Lamirel <jean-charles.lamirel at loria.fr>
To: 	CORPORA at UIB.NO

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 â??incrementalâ?? 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 â?? jean-charles.lamirel at loria.fr - 
vincent.lemaire at orange.com,

Organizing committee:

Abou-Nasr MahmoudFord Motor CompanyUSA
Al Shehabi ShadiAllepo UniversitySyria
Albatineh Ahmed Dept of Biostatistics Florida Int. U. MiamiUSA
Alippi CesarePolitecnico di MilanoItalia
Arredondo TomasU.T.F.S.M. ValparaÃsoChile
Bennani YounesLIPN, ParisFrance
Bifet AlbertUniversity of Waikato, HamiltonNew Zealand
Bondu AlexisEDF R&DFrance
Cabanes GuenaelLIPN, ParisFrance
Chawla NiteshNotre Dame University, IndianaUSA
Chen ChaomeiDrexel University, PhiladelphiaUSA
Cuxac PascalINIST-CNRS, NancyFrance
Diallo Abdoulaye B.UQAM MontrealCanada
El Haddadi AnassIRIT, ToulouseFrance
Escalante Hugo JairNational Institute of Astrophysics Optics and 
ElectronicsMexico
GarcÃa-RodrÃguez JosÃ©University of AlicanteSpain
Glanzel WolfgangKU Leuven, LeuvenBelgia
Hammer BarbaraUniversity of BielefeldGermany
Kumova Bora I.Izmir UniversityTurkey
Kuntz-Cosperec PascalePolytech'NantesFrance
Lallich StephaneUniversity of Lyon 2France
Lamirel Jean-CharlesTALARIS- LORIA, NancyFrance
Lebbah MustaphaLIPN, ParisFrance
Lemaire VincentOrange Labs, LannionFrance
Lenca PhilippeTelecom BretagneFrance
Li BinUTS, SydneyAustralia
Nuggent RebeccaCarnegie Mellon University, PittsburghUSA
Popescu FlorinFraunhofer Institute, BerlinGermany
Roveri ManuelPolitecnico di MilanoItalia
Tamir DanTexas State University, San MarcosUSA
Torre FabienUniversity of Lille 3France
Zhou Zhi-HuaNanjing UniversityChina
Zhu XingquanUTS, SydneyAustralia

Dr habil. Jean-Charles LAMIREL
MaÃ®tre de ConfÃ©rences, HabilitÃ© Ã  Diriger des Recherches
UniversitÃ© de Strasbourg
Projet INRIA TALARIS - LORIA - Nancy
GSM : 0624365491

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