Supervised Descriptive Rule Discovery: A Survey of the State-of-the-Art

Date

2016-06-01

Advisors

Journal Title

Journal ISSN

ISSN

DOI

Volume Title

Publisher

DMU

Type

Technical Report

Peer reviewed

No

Abstract

The supervised descriptive rule discovery concept groups a set of data mining techniques whose objective is to describe data with respect to a property of interest. Among the techniques within this concept are the subgroup discovery, emerging patterns and contrast sets. This contribution presents the supervised descriptive rule discovery concept within the data mining literature. Specifically, it is important to remark the main di erence with respect to other existing techniques within classification or description. In addition, a a survey of the state-of-the-art about the different techniques within supervised descriptive rule discovery throughout the literature can be observed. The paper allows to the experts to analyse the compatibilities between terms and heuristics of the different data mining tasks within this concept.

Description

Keywords

Rule Discovery, Data mining, Subgroup Discovery, Patterns

Citation

Carmona, C.J. and Elizondo, D. (2016) Supervised Descriptive Rule Discovery: A Survey of the State-of-the-Art.

Rights

Research Institute

Institute of Artificial Intelligence (IAI)