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Call for papers

The IEEE International Conference on Data Mining (ICDM) has established itself as a premier research conference in data mining. It provides a leading forum for the presentation of original research results, as well as exchange and dissemination of innovative ideas, drawing researchers and practitioners from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases, visualization, high performance computing, and so on. 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 invited talks from research and industry leaders, as well as workshops, tutorials, panels, and the ICDM data mining contest.

Paper Submissions

We invite high quality submissions on all aspects of data mining and knowledge discovery. Papers should be original and innovative, rigorously evaluated and well-presented. Broad areas of interest include, but are not limited to (see for a more detailed list of topics):

  • Novel Algorithms
  • Theory and foundations
  • Systems and frameworks
  • Innovative applications
  • Large-scale approaches

All submitted papers will be judged based on their significance, originality, repeatability, and clarity. Substantially similar papers that have already been accepted, or are simultaneously under review during the ICDM review period will not be considered. Papers will be triple-blind reviewed and should be limited to a maximum of 10 pages. Papers that do not comply with the Submission Guidelines (available at will be rejected without review.

Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press. Regular paper will be allocated 10 pages in the proceedings, and longer oral presentation time, whereas short papers will be allowed 6 pages in the proceedings, with shorter oral presentation time. A selected number of IEEE ICDM 2012 accepted papers will be invited for possible inclusion, in expanded and revised form, in the Knowledge and Information Systems journal ( published by Springer-Verlag.

Repeatability guideline: To ensure the long term viability of data mining research, every effort should be made to provide the source-code (or executables), as well as the datasets (or their closest publicly available equivalents). The experimental results section should mention all relevant implementation details and parameter specifications, so that the results can be independently duplicated.

The ICDM 2012 paper review system is at

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. A best student paper award will also be given.