-------- Original-Nachricht -------- Betreff: [computational.science] 1st cfp: ICDM'09 - the 9th IEEE International Conference on Data Mining - December 6-9, 2009 Miami, U.S.A Datum: Fri, 30 Jan 2009 16:55:51 -0800 Von: Kun Liu icdm09@gmail.com Organisation: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com
[Sorry for crossing posting.] **************************************************************************
ICDM'09: The 9th IEEE International Conference on Data Mining ************************************************************************** Sponsored by the IEEE Computer Society
December 6-9, 2009 Miami, U.S.A. http://www.cs.umbc.edu/ICDM09/
Important Dates April 13, 2009 Deadline for workshop proposals June 26, 2009 Deadline for paper submission, tutorial submission, and panel proposals September 4, 2009 Notification to authors September 28, 2009 Deadline for camera-ready copies December 6-9, 2009 Conference
Call for Papers *************** The IEEE International Conference on Data Mining (ICDM) has established itself as the world's premier research conference in data mining. The 2009 edition of ICDM provides a leading forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of data mining, including algorithms, software and systems, and applications. In addition, ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing. By promoting novel, high quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to continuously advance the state-of-the-art in data mining. Besides the technical program, the conference will feature workshops, tutorials, panels, and the ICDM data mining contest.
Paper Submissions ***************** High quality papers in all data mining areas are solicited. Original papers exploring new directions will receive especially careful consideration. Papers that have already been accepted or are currently under review for other conferences or journals will not be considered for ICDM'09.
Paper submissions should be limited to a maximum of 10 pages in the IEEE 2-column format, the same as the camera-ready format (see the IEEE Computer Society Press Proceedings Author Guidelines http://www.ieeeconfpublishing.org/cpir/AuthorKit.asp?Community=CPS&Facil... ). All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to data mining, originality, significance, and clarity. A double blind review process will be adopted. Authors should avoid using identifying information in the text of the paper. A Submission Form to submit your work will be announced on the ICDM'09 website.
Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press and accorded oral presentation times in the main conference. Submissions accepted as regular papers will be allocated 10 pages in the proceedings. Submissions accepted as short papers will be allocated 6 pages in the proceedings and will have a shorter presentation time at the conference than regular papers.
A selected number of IEEE ICDM'09 accepted papers will be invited for possible inclusion, in expanded and revised form, in the Knowledge and Information Systems journal published by Springer-Verlag.
ICDM Best Paper Awards ********************** IEEE ICDM Best Paper Awards will be conferred at the conference on the authors of (1) the best research paper, (2) the best application paper, and (3) the best student paper. Strong, foundational results will be considered for the best research paper award and application-oriented submissions will be considered for the best application paper award. The best student paper award will be given to the authors of the best paper written solely by one or more students.
Workshops and Tutorials *********************** ICDM'09 will host short and long tutorials as well as workshops that focus on new research directions and initiatives. All accepted workshop papers will be included in a separate workshop proceedings published by the IEEE Computer Society Press.
ICDM Data Mining Contest ************************ ICDM'09 will host a data mining contest to challenge researchers and practitioners with a real practical data mining problem. For further details on proposals and expression of interest, please see the Call for Data Mining Contest Proposals.
Topics of Interest ****************** * Data mining foundations - Novel data mining algorithms in traditional areas (such as classification, regression, clustering, probabilistic modeling, pattern discovery, and association analysis) - Models and 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 - Distributed data mining - High performance implementations of data mining algorithms - Privacy and anonymity-preserving data analysis * Mining in emerging domains - Stream data mining - Mining moving object data, RFID data, and data from sensor networks - Ubiquitous knowledge discovery - Mining multi-agent data - Mining and link analysis in networked settings: web, social and computer networks, and online communities - Mining the semantic web - 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 - Integration of data warehousing, OLAP and data mining - Data mining query languages - Security and data integrity * Integrated KDD applications, systems, and experiences - Bioinformatics, computational chemistry, ecoinformatics - 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 - Sustainable mobility and intelligent transportation systems
Organizing Committee ******************** Conference Co-Chairs: Sanjay Ranka, University of Florida Philip S. Yu, University of Illinois at Chicago
Program Co-Chairs: Hillol Kargupta, University of Maryland, Baltimore County Wei Wang, University of North Carolina Chapel Hill
Steering Committee: Xindong Wu (Chair), University of Vermont, USA Nick Cercone, York University, Canada 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 Benjamin W. Wah, University of Illinois, Urbana-Champaign, USA Philip S. Yu, IBM T.J. Watson Research Center, USA Ning Zhong, Maebashi Institute of Technology, Japan
Local Arrangements Chair: Tao Li, Florida International University
Finance Chair: Vagelis Hristidis, Florida International University
Awards Committee: Jiawei Han (Chair), University of Illinois at Urbana-Champaign, USA James Bailey, University of Melbourne, Australia Wei Fan, IBM T.J. Watson Research Center, USA Bart Goethals, University of Antwerp, Belgium Minos N. Garofalakis, Technical University of Crete, Greece Hillol Kargupta, University of Maryland at Baltimore County, USA Wei Wang, University of North Carolina at Chapel Hill, USA
Panels Chair: Haym Hirsh, NSF and Rutgers
Workshop Co-Chairs: Yucel Saygin, Sabanci University Jeffrey Xu Yu, CUHK
Tutorials Chair: Sanghamitra Bandyopadhyay, Indian Statistical Institute
ICDM Data Mining Contest Chair: Qiang Yang, HKUST
Sponsorship Chair: To be announced
Publicity Co-Chairs: Ina Lauth, Fraunhofer IAIS (Europe) Kun Liu, IBM Almaden Research Center (North America)
Exhibit and Demo Chairs To be announced
Further Information ******************* ICDM09@listserv.unc.edu