|Title||Subgroup Discovery with Linguistic Rules|
|Publication Type||Book Chapter|
|Year of Publication||2008|
|Authors||del Jesus, M. J., González P., and Herrera F.|
|Editor||Bustince, Humberto, Herrera F., and Montero Javier|
|Book Title||Fuzzy Sets and Their Extensions: Representation, Aggregation and Models|
|Publisher||Springer Berlin Heidelberg|
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.