Aims: :
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 data stream. 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.
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
- 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 micro-array data analysis
- Adaptive recommender and filtering systems
- Scientometrics, webometrics and technological survey
Important dates:
- Paper submission: August 10 (new date), 2014
- Notification of acceptance: September 26, 2014
- Camera-ready: October 20, 2014
- ICDM 2014 Conference: December 14, 2014
Important - Submission Guidelines:
Proceedings:
- All accepted workshop papers will be published in formal proceedings by the IEEE Computer Society Press.
Contact:
Pascal Cuxac, - INIST - CNRS
2 allée du Parc de Brabois, CS 10310, 54519 Vandœuvre les Nancy Cedex
Email : pascal.cuxac[at]inist.fr,
ResearchGate: [...]
GoogleScholar: [...]
Homepage: [...]
Jean-Charles Lamirel - LORIA – SYNALP Research Team
Campus Scientifique, BP. 239, 54506 Vandoeuvre les Nancy Cedex
Email : lamirel[at]loria.fr,
ResearchGate: [...]
Vincent Lemaire - Orange Labs
2 avenue Pierre Marzin, 2300 Lannion
Email: vincent.lemaire[at]orange.com,
Homepage: [...]
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Preliminary list of invited speakers (if any):
- Zhi-Hua Zhou - Nanjing University Nanjing - China
Organizing committee (confirmed):
- Abou-Nasr Mahmoud Ford Motor Company USA
- 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
- Chawla Nitesh Notre Dame University, Indiana USA
- Diallo Abdoulaye B. UQAM Montreal Canada
- Escalante Hugo Jair National Institute of Astrophysics Optics and Electronics Mexico
- García-Rodríguez José University of Alicante Spain
- Grozavu Nistor LIPN, Paris France
- Hammer Barbara University of Bielefeld Germany
- Kotzinos Dimitris FORTH-ICS Greece
- Kuntz-Cosperec Pascale Polytech'Nantes France
- Lebbah Mustapha LIPN, Paris France
- Lenca Philippe Telecom Bretagne France
- Loosli Gaelle Polytech, Clermont-Ferrand France
- Roveri Manuel Politecnicodi Milano Italia
- Tamir Dan Texas State University, San Marcos USA
- Torre Fabien University of Lille3 France
- Tseng Vincent University of Tainan Taiwan
- Urvoy Tanguy Orange Labs, Lannion France
- Zhu Xingquan Florida Atlantic University USA
Agenda :
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