Subgroup Discovery with Linguistic Rules

TitleSubgroup Discovery with Linguistic Rules
Publication TypeBook Chapter
Year of Publication2008
Authorsdel Jesus, M. J., González P., and Herrera F.
EditorBustince, Humberto, Herrera F., and Montero Javier
Book TitleFuzzy Sets and Their Extensions: Representation, Aggregation and Models
PublisherSpringer Berlin Heidelberg
CityBerlin, Heidelberg
ISBN Number978-3-540-73723-0

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.