RT info:eu-repo/semantics/article
T1 An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects
A1 García Vico, A. M. .
A1 Carmona del Jesús, Cristóbal José
A1 Martín, D. .
A1 García Borroto, M. .
AB Emerging pattern mining is a data mining task that aims to discover discriminative patterns, which can describe emerging behavior with respect to a property of interest. In recent years, the description of datasets has become an interesting field due to the easy acquisition of knowledge by the experts. In this review, we will focus on the descriptive point of view of the task. We collect the existing approaches that have been proposed in the literature and group them together in a taxonomy in order to obtain a general vision of the task. A complete empirical study demonstrates the suitability of the approaches presented. This review also presents future trends and emerging prospects within pattern mining and the benefits of knowledge extracted from emerging patterns
PB Wiley
SN 1942-4795
YR 2018
FD 2018-01
LK http://hdl.handle.net/10259/4729
UL http://hdl.handle.net/10259/4729
LA eng
NO Spanish Ministry of Economy and Competitiveness under the projectTIN2015-68454-R (FEDER Founds)
DS Repositorio Institucional de la Universidad de Burgos
RD 23-abr-2024