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Título : An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects
Autor : García Vico, A. M. .
Carmona del Jesús, Cristóbal José
Martín, D. .
García Borroto, M. .
Publicado en: WIREs Data Mining and Knowledge Discovery. 2018, V. 8, n. 1, e1231
Editorial : Wiley
Fecha de publicación : ene-2018
ISSN : 1942-4795
DOI: 10.1002/widm.1231
Resumen : 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
Licencia: https://creativecommons.org/licenses/by-nc-nd/4.0/
URI : http://hdl.handle.net/10259/4729
Versión del editor: https://doi.org/10.1002/widm.1231
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