Subgroup Discovery with Linguistic Rules

Author
Abstract

Subgroup discovery can be defined as a form of supervised inductive learning in which, given a population of individuals and a specific property of individuals in which we are interested, find population subgroups that have the most unusual distributional characteristics with respect to the property of interest. Subgroup discovery algorithms aim at discovering individual rules, which must be represented in explicit symbolic form and which must be simple and understandable in order to be recognized as actionable by potential users.

Year of Publication
2008
Number of Pages
411-430
Publisher
Springer Berlin Heidelberg
City
Berlin, Heidelberg
ISBN Number
978-3-540-73723-0
URL
https://doi.org/10.1007/978-3-540-73723-0_21
DOI
10.1007/978-3-540-73723-0_21
Download citation