ICDM 2010 Call For Papers

avril, 29, 2010

ICDM ’10: The 10th IEEE International Conference on Data Mining
Sponsored by the IEEE Computer Society

December 13-17, 2010, Sydney, Australia

Call for Papers

Important Dates

May 06, 2010: Deadline for workshop proposals
May 06, 2010: Deadline for ICDM contest proposals
Jul 02, 2010: Deadline for full paper submission
Jul 13, 2010: Deadline for demo proposals, tutorial proposals,
and proposals
Sep 10, 2010: Notification of acceptance
Oct 04, 2010: Camera-ready copies and copyright release forms

The IEEE International Conference on Data Mining (ICDM) has established itself as the world’s premier research conference in data mining. The 10th edition of ICDM (ICDM ’10) 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 ’10.

Paper submissions should be limited to a maximum of 10 pages in the IEEE 2-column format, the same as the camera-ready format (http://www.ieeeconfpublishing.org/cpir/AuthorKit.asp?Community=CPS&Facility=CPS_Dec&ERoom=ICDM+2009).
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 ’10 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 ’10 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 ’10 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 ’10 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.

Topic of Interest

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: data mining foundations, mining in emerging domains, methodological aspects and the KDD process, and integrated KDD applications, systems, and experiences. A detailed listing of specific topics can be found at the conference website.

Organizing Committee

Honorary Chair:
Ramamohanarao Kotagiri, Melbourne University, Australia

Conference Co-Chairs:
Chengqi Zhang, University of Technology, Sydney, Australia
Dimitrios Gunopulos, University of California – Riverside, USA

Program Co-Chairs:
Geoff Webb, Monash University, Australia
Bing Liu, University of Chicago, USA

Steering Committee:
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, University of Illinois, Urbana-Champaign, USA
Philip S. Yu, University of Illinois at Chicago, USA
Osmar R. Zaiane, University of Alberta, Canada

Local Arrangements Chair
Longbing Cao, University of Technology, Sydney, Australia

Finance Chair
Xinquan Zhu, University of Technology, Sydney, Australia

Further Information

Professor Chengqi Zhang
Faculty of Engineering and Information Technology
University of Technology, Sydney
PO Box 123, Broadway NSW 2007, Australia
Tel: +61-2-9514 7941; Fax: +61-2-9514 4517
Email: chengqi@it.uts.edu.au

2 Responses to “ICDM 2010 Call For Papers”

i don’t know if it’s just me but i have not been able to access the url given http://datamining.it.uts.edu.au/icdm10 for this past week.

susan, 3 juin 2010 à 11:45

I can access the website, maybe a problem on your server ?

Sylvain, 4 juin 2010 à 0:04
Picture: courtesy of Abby Blank