@inproceedings{ad22137ff53e44e09cfaf33f5903bd7b,
title = "Application of Greedy Heuristics for Feature Characterisation and Selection: A Case Study in Stylometric Domain",
abstract = "The paper presents research on greedy heuristics used to obtain characteristics of features. The parameters of decision rules induced by heuristics were treated as a source of knowledge about variables. The observations on attributes were exploited for generation of new rules, and for post-processing pruning rule sets, inferred in Classical Rough Set Approach. The proposed framework was applied in stylometric domain.",
keywords = "Decision rule, Feature characterisation, Feature selection, Greedy heuristic, Pruning, Stylometry",
author = "Urszula Sta{\'n}czyk and Beata Zielosko and Krzysztof {\.Z}abi{\'n}ski",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 20118.; International Joint Conference on Rough Sets, IJCRS 2018 ; Conference date: 20-08-2018 Through 24-08-2018",
year = "2018",
doi = "10.1007/978-3-319-99368-3\_27",
language = "English",
isbn = "9783319993676",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "350--362",
editor = "Quang-Thuy Ha and Ma{\l}gorzata Przyby{\l}a-Kasperek and Tianrui Li and Nguyen, \{Hung Son\}",
booktitle = "Rough Sets - International Joint Conference, IJCRS 2018, Proceedings",
address = "Germany",
}