@inproceedings{59e6f78ad8074b55bbdcfee3ccda8936,
title = "Attribute ranking driven filtering of decision rules",
abstract = "In decision rule induction approaches either minimal, complete, or satisfying sets of constituent rules are inferred, with an aim of providing predictive properties while offering descriptive capabilities for the learned concepts. Instead of limiting rules at their induction phase we can also execute post-processing of the set of generated decision rules (whether it is complete or not) by filtering out those that meet some constraints. The paper presents the research on rule filtering while following a ranking of conditional attributes, obtained in the process of sequential forward selection of input features for ANN classifiers.",
keywords = "ANN, Authorship Attribution, DRSA, Decision Algorithm, Decision Rule, Feature Selection, Ranking, Rule Filtering, Stylometry",
author = "Urszula Sta{\'n}czyk",
year = "2014",
doi = "10.1007/978-3-319-08729-0\_21",
language = "English",
isbn = "9783319087283",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "217--224",
booktitle = "Rough Sets and Intelligent Systems Paradigms - Second International Conference, RSEISP 2014, Held as Part of JRS 2014, Proceedings",
address = "Germany",
note = "2nd International Conference on Rough Sets and Emerging Intelligent Systems Paradigms, RSEISP 2014 - Held as Part of 2014 Joint Rough Set Symposium, JRS 2014 ; Conference date: 09-07-2014 Through 13-07-2014",
}