Features

KDD Cup 2003 (http://www.cs.cornell.edu/projects/kddcup/index.html)

The Ninth ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (KDD 2003)

Every year, in conjunction with the ACM SIGKDD conference, a knowledge discovery and data mining competition (KDD Cup) is held to challenge the research community in industry and academia.

This year's competition focuses on problems motivated by network mining and the analysis of usage logs. Complex networks have emerged as a central theme in data mining applications, appearing in domains that range from communication networks and the Web, to biological interaction networks, to social networks and homeland security. At the same time, the difficulty in obtaining complete and accurate representations of large networks has been an obstacle to research in this area.

This KDD Cup is based on a very large archive of research papers that provides an unusually comprehensive snapshot of a particular social network in action; in addition to the full text of research papers, it includes both explicit citation structure and (partial) data on the downloading of papers by users. It provides a framework for testing general network and usage mining techniques, which will be explored via four varied and interesting task. Each task is a separate competition with its own specific goals.

To learn more about the KDD cup competition rules, the tasks, and the datasets, please visit the KDD cup web site managed by the KDD cup chairs Johannes Gehrke, Paul Ginsparg and Jon Kleinberg.
For more information, please refer to the SIGKDD Conference web site

http://www.acm.org/sigkdd/kdd2003/

or go directly to the KDD Cup 2003 web site

http://www.cs.cornell.edu/projects/kddcup/index.html

Osmar R. Zaiane
University of Alberta
KDD 2003 Publicity Chair