An overview of emerging pattern mining in supervised descriptive rule discovery: taxonomy, empirical study, trends, and prospects. García-Vico, A. M., Carmona, C. J., Martín, D., García-Borroto, M., & del Jesus, M. J. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(1):1–22, 2018. doi abstract bibtex 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. WIREs Data Mining Knowl Discov 2018, 8:e1231. doi: 10.1002/widm.1231. This article is categorized under: Fundamental Concepts of Data and Knowledge > Knowledge Representation Fundamental Concepts of Data and Knowledge > Motivation and Emergence of Data Mining.
@Article{ garcia-vico.ea2018-overview,
author = {Garc{\'{i}}a-Vico, A. M. and Carmona, C. J. and
Mart{\'{i}}n, D. and Garc{\'{i}}a-Borroto, M. and del
Jesus, M. J.},
year = {2018},
title = {An overview of emerging pattern mining in supervised
descriptive rule discovery: taxonomy, empirical study,
trends, and prospects},
abstract = {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. WIREs Data Mining Knowl Discov 2018, 8:e1231.
doi: 10.1002/widm.1231. This article is categorized under:
Fundamental Concepts of Data and Knowledge > Knowledge
Representation Fundamental Concepts of Data and Knowledge
> Motivation and Emergence of Data Mining.},
doi = {10.1002/widm.1231},
issn = {19424795},
journal = {Wiley Interdisciplinary Reviews: Data Mining and
Knowledge Discovery},
keywords = {computer},
mendeley-tags= {computer},
number = {1},
pages = {1--22},
volume = {8}
}
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