Data Mining Section

Overview

The mission of the Section on Data Mining is to promote and disseminate research and applications among professionals interested in theory, methodologies, and applications in data mining and knowledge discovery.

Latest News and Announcements

  1. The INFORMS Section on Data Mining solicits presentations for sponsored sessions at the INFORMS Annual Meeting in Phoenix, Arizona, October 14-17, 2012. If you are interested in presenting your work, please email Paul Brooks (jpbrooks@vcu.edu) with a title and abstract (limit 500 words). The abstract submission deadline is May 15, 2012.
  2. Call for Papers – INFORMS 2012 Data Mining Best Student Paper Award

The Data Mining (DM) Section of INFORMS announces the Best Student Paper Award to recognize excellence among its student members. Four finalists for the Best Student Paper Award will be selected by a panel of members of DM section, on any topic related to data mining by a student author. Four finalists will make presentations at INFORMS 2012 Annual Meeting, Phoenix, Arizona. The winner will be announced at the INFORMS DM business meeting and all finalists will receive an award certificate.

If a student meets the above criteria and wishes to submit a paper for consideration, please submit the paper to the contest coordinator, Dr. Peter Qian (peterq@stat.wisc.edu), by August 1, 2012.
Late submissions are not accepted and four finalists will be announced on Sep 1, 2012.

Rules and Information:
(1) The presenting student author must be a student on or after January 1, 2012.
(2) The research must have been conducted while the presenting author was a student.
(3) The paper must be written by the student author(s) with minor assistance from advisors.The effort of the student(s) must comprise at least 50% of the work presented in the paper.
(4) The presenting student author must be a member of the Data Mining Section.
(5) A student author must be available to present the work at a student session at the 2012 INFORMS Annual Meeting if selected as a Finalist.
(6) Papers cannot exceed 10 typed pages (1 inch margins, 12 point font, single-spaced).
(7) Papers will not be published as part of the competition.
(8) Papers can be in any state with regard to publication (unpublished, submitted, published,
etc.).

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Key Contacts

Jing Li (Data Mining Section President)
Arizona State University
jinglz@asu.edu

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