Lessons Learned from the ECML/PKDD Discovery Challenge on the Atherosclerosis Risk Factors Data

Authors

  • Petr Berka
  • Jan Rauch
  • Marie Tomečková

Keywords:

atherosclerosis risk, data mining, discovery challenge

Abstract

It becomes a good habit to organize a data mining cup, a competition or a challenge at machine learning or data mining conferences. The main idea of the Discovery Challenge organized at the European Conferences on Principles and Practice of Knowledge Discovery in Databases since 1999 was to encourage a collaborative research effort rather than a competition between data miners. Different data sets have been used for the Discovery Challenge workshops during the seven years. The paper summarizes our experience gained when organizing and evaluating the Discovery Challenge on the atherosclerosis risk factor data.

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Published

2012-01-27

How to Cite

Berka, P., Rauch, J., & Tomečková, M. (2012). Lessons Learned from the ECML/PKDD Discovery Challenge on the Atherosclerosis Risk Factors Data. Computing and Informatics, 26(3), 329–344. Retrieved from http://147.213.75.17/ojs/index.php/cai/article/view/313