Features

The IEEE ICDM Data Mining Contest (ICDM DMC) is set up to meet the challenges of novel, difficult and high-impact real-world data mining problems. We strive to make this contest series an important and attractive component of the IEEE ICDM conference.

This year's inaugural contest provides a location-estimation problem in an indoor wireless network environment. The problem is to accurately predict a mobile user's location from the received radio signal strength values in a wireless environment.

For more information, please visit the contest website

www.cse.ust.hk/~qyang/ICDMDMC07/

Submissions by September 26, 2007

ICDM DMC07 Contest Co-Chairs:

• Qiang Yang, Hong Kong University of Science and Technology (China)
• Gang Kou, Thomson Corporation (USA)
• Chris Ding, University of Texas at Arlington (USA)

• Aug. 16, 2007: Task description, training datasets and registration available online
• Sept. 16, 2007: Test data available
• Sept. 26, 2007: Submissions of estimation results (by midnight PST)
• Oct. 1, 2007: Submission of brief algorithm description (by midnight PST)
• Oct. 28-31, 2007: Contest Winner Presentation(s) at ICDM '07