@inproceedings{a3d1247c449b490bbe04771e114e30c4,
title = "Data-driven adaptive selection of rules quality measures for improving the rules induction algorithm",
abstract = "The proposition of adaptive selection of rule quality measures during rules induction is presented in the paper. In the applied algorithm the measures decide about a form of elementary conditions in a rule premise and monitor a pruning process. An influence of filtration algorithms on classification accuracy and a number of obtained rules is also presented. The analysis has been done on twenty one benchmark data sets.",
keywords = "classification, rules induction, rules quality measures",
author = "Marek Sikora and {\L}ukasz Wr{\'o}bel",
year = "2011",
doi = "10.1007/978-3-642-21881-1\_44",
language = "English",
isbn = "9783642218804",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "278--285",
booktitle = "Rough Sets, Fuzzy Sets, Data Mining and Granular Computing - 13th International Conference, RSFDGrC 2011, Proceedings",
note = "13th International Conference on Rough Sets, Fuzzy Sets and Granular Computing, RSFDGrC 2011 ; Conference date: 25-06-2011 Through 27-06-2011",
}