@inproceedings{a6f1e733d6e6497a87e9a302f0c41bf5,
title = "On preference order of DRSA conditional attributes for computational stylistics",
abstract = "Computational stylistics (or stylometry) advocates that any writing style can be uniquely defined by quantitative measures. The patterns observed in textual descriptors are specific to authors in such high degree that it enables their recognition. In processing there can be employed techniques from artificial intelligence domain such as Dominance-Based Rough Set Approach (DRSA). Its starting point comprises establishing a preference order in value sets of attributes, which can be dictated by domain knowledge, arbitrarily assumed, or obtained through some analysis. The paper describes the process of finding preference orders through such sequential adjustments that lead to induction of minimal cover decision algorithms with the highest classification accuracy.",
keywords = "Authorship Attribution, Computational Stylistics, Conditional Attributes, DRSA, Decision Algorithm, Preference Order",
author = "Urszula Sta{\'n}czyk",
year = "2013",
doi = "10.1007/978-3-642-40173-2\_4",
language = "English",
isbn = "9783642401725",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 2",
pages = "26--33",
booktitle = "Database and Expert Systems Applications - 24th International Conference, DEXA 2013, Proceedings",
address = "Germany",
edition = "PART 2",
note = "24th International Conference on Database and Expert Systems Applications, DEXA 2013 ; Conference date: 26-08-2013 Through 29-08-2013",
}