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 part of the IEEE ICDM Conference in the future.

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

For more information, please see http://www.cse.ust.hk/~qyang/ICDMDMC07/ , or contact icdm07contest@gmail.com

The co-chairs for the ICDM DMC07 Contest are:

• 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 at ICDM Conference