Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Chapter

Download BibTeX

Title

Evaluating importance of conditions in the set of discovered rules

Authors

[ 1 ] Instytut Informatyki (II), Wydział Informatyki i Zarządzania, Politechnika Poznańska | [ P ] employee

Year of publication

2007

Chapter type

paper

Publication language

english

Keywords
EN
  • Knowledge Discovery
  • Rule Evaluation
  • Fuzzy Measures
Abstract

EN We propose a new method for evaluating the contribution that elementary conditions give to a set of rules. It is based on previous results concerning importance and interaction of elementary conditions for a confidence of a single rule. The usefulness of the method is shown on two rule discovery problems.

Pages (from - to)

314 - 321

DOI

10.1007/978-3-540-72530-5_37

URL

https://link.springer.com/chapter/10.1007/978-3-540-72530-5_37

Book

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007. Proceedings

Presented on

11th International Conference Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, RSFDGrC 2007, 14-16.05.2007, Toronto, Canada

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.