ICDM 2012 - IEEE International Conference on Data Mining (ICDM 2012)

Topics related to the design, analysis and implementation of data mining theory, systems and applications are of interest. These include, but are not limited to the following areas:
http://www.cs.uvm.edu/~icdm/
Data mining foundations
Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis)
Algorithms for new, structured, data types, such as arising in chemistry, biology, environment, and other scientific domains
Developing a unifying theory of data mining
Mining sequences and sequential data
Mining spatial and temporal datasets
Mining textual and unstructured datasets
High performance implementations of data mining algorithms
Mining in targeted application contexts
Mining high speed data streams
Mining sensor data
Distributed data mining and mining multi-agent data
Mining in networked settings: web, social and computer networks, and online communities
Data mining in electronic commerce, such as recommendation, sponsored web search, advertising, and marketing tasks
Methodological aspects and the KDD process
Data pre-processing, data reduction, feature selection, and feature transformation
Quality assessment, interestingness analysis, and post-processing
Statistical foundations for robust and scalable data mining
Handling imbalanced data
Automating the mining process and other process related issues
Dealing with cost sensitive data and loss models
Human-machine interaction and visual data mining
Security, privacy, and data integrity
Integrated KDD applications and systems
Bioinformatics, computational chemistry, geoinformatics, and other science & engineering disciplines
Computational finance, online trading, and analysis of markets
Intrusion detection, fraud prevention, and surveillance
Healthcare, epidemic modeling, and clinical research
Customer relationship management
Telecommunications, network and systems management
Steering Committee

The Steering Committee coordinates the conference series. It decides where and when the next conference will be held, and selects the Program Chair(s).

Xindong Wu (Chair), University of Vermont, USA
David J. Hand, Imperial College, London, UK
Ramamohanarao Kotagiri, University of Melbourne, Australia
Vipin Kumar, University of Minnesota, USA
Heikki Mannila, University of Helsinki, Finland
Gregory Piatetsky-Shapiro, KDnuggets, USA
Shusaku Tsumoto, Shimane University, Japan
Benjamin W. Wah, The Chinese University of Hong Kong, China
Philip S. Yu, University of Illinois at Chicago, USA
Osmar R. Zaiane, University of Alberta, Canada
Conference Publications

ICDM proceedings are published by the IEEE Computer Society Press. A selected number of ICDM accepted papers will be expanded and revised for possible inclusion in the KAIS journal (Knowledge and Information Systems, by Springer-Verlag) each year. This will be mentioned in all calls for papers of the ICDM conference. KAIS will publish the calls for papers of the ICDM conferences once a year without any charges, by the conference organizers' request, to publicize the mutual support for the success of ICDM and KAIS.