@inproceedings{f054b8eca6de4d349e256f4aa08f25b9,
title = "On importance of rows for decision tables",
abstract = "In this paper, we propose a method for the evaluation of importance of rows for decision tables. It is based on indirect information about changes in the set of reducts after removing the considered row from the table. We also discuss results of computer experiments with decision tables from UCI Machine Learning Repository.",
keywords = "Canonical form, Characteristic function, Decision table, Reduct, Test",
author = "{Abou Eisha}, Hassan and Mohammad Azad and Mikhail Moshkov",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; International Joint Conference on Rough Sets, IJCRS 2017 ; Conference date: 03-07-2017 Through 07-07-2017",
year = "2017",
doi = "10.1007/978-3-319-60837-2_31",
language = "English (US)",
isbn = "9783319608365",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "376--383",
editor = "Dun Liu and Yiyu Yao and Beata Zielosko and Davide Ciucci and Lech Polkowski and Piotr Artiemjew and Dominik Slezak",
booktitle = "Rough Sets - International Joint Conference, IJCRS 2017, Proceedings,",
address = "Germany",
}