@inbook{4cef3d9854794a57aae31767e8514937,
title = "Simplification of classification rules",
abstract = "As mentioned in Chap. 1, pruning methods are increasingly required for rule simplification due to the overfitting problem. This chapter introduces two approaches of rule simplification namely, pre-pruning and post-pruning. In particular, some existing rule pruning algorithms are described in detail. These algorithms are also discussed comparatively with respects to their advantages and disadvantages.",
author = "Han Liu and Alexander Gegov and Mihaela Cocea",
note = "Publisher Copyright: {\textcopyright} 2016, Springer International Publishing Switzerland.",
year = "2015",
month = sep,
day = "17",
doi = "10.1007/978-3-319-23696-4_4",
language = "English",
isbn = "9783319236957",
series = "Studies in Big Data",
publisher = "Springer",
pages = "43--50",
booktitle = "Rule Based Systems for Big Data",
edition = "1st",
}