@inproceedings{93427ef1141d4dccb4465628469bcdcf,
title = "Advanced oblique rule generating based on PCA",
abstract = "In the paper a new algorithm of oblique decision rule induction is presented. It starts from dividing classes into subclasses which is a clustering problem. Then, around each subclass the hyperrectangle is built, which edges are parallel to PCA determined directions. Each hyperrectangle represents single decision rule which conditions are hyperplanes containing hyperrectangle sides. In order to simplify the obtained model less important conditions are removed from the rule and then less important variables are also eliminated from the hyperplane equations. The algorithm was applied for real and artificial datasets.",
keywords = "Principal Component Analysis, decision systems, machine learning, oblique rules, rules induction, rules pruning",
author = "Marcin Michalak and Karolina Nurzy{\'n}ska",
year = "2014",
doi = "10.1007/978-3-319-07173-2\_48",
language = "English",
isbn = "9783319071725",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 1",
pages = "561--573",
booktitle = "Artificial Intelligence and Soft Computing - 13th International Conference, ICAISC 2014, Proceedings",
address = "Germany",
edition = "PART 1",
note = "13th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2014 ; Conference date: 01-06-2014 Through 05-06-2014",
}