@inproceedings{cfd4daad61364c13af2d65e07b8bfa70,
title = "Filtering decision rules with continuous attributes governed by discretisation",
abstract = "The paper presents research on selection of decision rules with continuous condition attributes while exploiting characteristics of these attributes obtained by supervised discretisation. The considered features were split into categories corresponding to numbers of intervals required for partitioning of their values, and this information was next used to divide the sets of rules by their conditions falling into specific categories. Also to each group of variables there was assigned some weight, basing on which several rule quality measures were calculated. They enabled filtering rules meeting requirements with respect to performance.",
keywords = "Continuous attributes, DRSA, Discretisation, Filtering rules",
author = "Urszula Sta{\'n}czyk",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 23rd International Symposium on Methodologies for Intelligent Systems, ISMIS 2017 ; Conference date: 26-06-2017 Through 29-06-2017",
year = "2017",
doi = "10.1007/978-3-319-60438-1\_33",
language = "English",
isbn = "9783319604374",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "333--343",
editor = "Marzena Kryszkiewicz and Henryk Rybinski and Ras, \{Zbigniew W.\} and Dominik Slezak and Andrzej Skowron and Annalisa Appice and Andrzej Skowron",
booktitle = "Foundations of Intelligent Systems - 23rd International Symposium, ISMIS 2017, Proceedings",
address = "Germany",
}