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 foundationsNovel 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 domainsDeveloping a unifying theory of data miningMining sequences and sequential dataMining spatial and temporal datasetsMining textual and unstructured datasetsHigh performance implementations of data mining algorithmsMining in targeted application contextsMining high speed data streamsMining sensor dataDistributed data mining and mining multi-agent dataMining in networked settings: web, social and computer networks, and online communitiesData mining in electronic commerce, such as recommendation, sponsored web search, advertising, and marketing tasksMethodological aspects and the KDD processData pre-processing, data reduction, feature selection, and feature transformationQuality assessment, interestingness analysis, and post-processingStatistical foundations for robust and scalable data miningHandling imbalanced dataAutomating the mining process and other process related issuesDealing with cost sensitive data and loss modelsHuman-machine interaction and visual data miningSecurity, privacy, and data integrityIntegrated KDD applications and systemsBioinformatics, computational chemistry, geoinformatics, and other science & engineering disciplinesComputational finance, online trading, and analysis of marketsIntrusion detection, fraud prevention, and surveillanceHealthcare, epidemic modeling, and clinical researchCustomer relationship managementTelecommunications, network and systems managementSteering CommitteeThe 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, USADavid J. Hand, Imperial College, London, UKRamamohanarao Kotagiri, University of Melbourne, AustraliaVipin Kumar, University of Minnesota, USAHeikki Mannila, University of Helsinki, FinlandGregory Piatetsky-Shapiro, KDnuggets, USAShusaku Tsumoto, Shimane University, JapanBenjamin W. Wah, The Chinese University of Hong Kong, ChinaPhilip S. Yu, University of Illinois at Chicago, USAOsmar R. Zaiane, University of Alberta, CanadaConference PublicationsICDM 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.
Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor. Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.