@inbook{ec2a5ba671f14b518da0fcdcb810a568,
title = "The application of k-medoids and PAM to the clustering of rules",
abstract = "Earlier research has resulted in the production of an {\textquoteleft}all-rules{\textquoteright} algorithm for data-mining that produces all conjunctive rules of above given confidence and coverage thresholds. While this is a useful tool, it may produce a large number of rules. This paper describes the application of two clustering algorithms to these rules, in order to identify sets of similar rules and to better understand the data.",
author = "Reynolds, {Alan P.} and Graeme Richards and Rayward-Smith, {Vic J.}",
year = "2004",
doi = "10.1007/978-3-540-28651-6_25",
language = "English",
isbn = "978-3-540-22881-3",
volume = "3177",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "173--178",
editor = "Yang, {Zheng Rong} and Hujun Yin and Everson, {Richard M.}",
booktitle = "Intelligent Data Engineering and Automated Learning – IDEAL 2004",
address = "Germany",
}