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Cognitive Computation
Erschienen in: Cognitive Computation 3/2019

04.01.2019

A Big Data Approach for the Extraction of Fuzzy Emerging Patterns

verfasst von: Ángel Miguel García-Vico, Pedro González, Cristóbal José Carmona, María José del Jesus

Erschienen in: Cognitive Computation | Ausgabe 3/2019

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Abstract

Nowadays, the growth of available data, known as big data, and machine learning techniques are changing our lives. The extraction of insights related to the underlying phenomena in data is key in order to improve decision-making processes. These underlying phenomena are described in emerging pattern mining by means of the description of the discriminative characteristics between the outputs of interest, which is a very important characteristic in machine learning. However, emerging pattern mining algorithms for big data environments have not been widely developed yet. This paper presents the first multi-objective evolutionary algorithm for emerging pattern mining in big data environments called BD-EFEP. BD-EFEP implements novelties for emerging pattern mining such as the MapReduce approach to improve the efficiency of the evaluation of the individuals, or the use of a token-competition-based procedure in order to boost the extraction of simple, general and reliable emerging pattern models. The experimental study performed using datasets with high number of examples shows the advantages of the algorithm proposed for the emerging pattern mining task in big data problems. Results show that the approach used by BD-EFEP opens new research lines for the extraction of high descriptive emerging patterns in big data environments.
Vorheriger Artikel Evolutionary Design of Linguistic Fuzzy Regression Systems with Adaptive Defuzzification in Big Data Environments
Nächster Artikel Feature Selection and Evolutionary Rule Learning for Big Data in Smart Building Energy Management

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Metadaten
Titel
A Big Data Approach for the Extraction of Fuzzy Emerging Patterns
verfasst von
Ángel Miguel García-Vico
Pedro González
Cristóbal José Carmona
María José del Jesus
Publikationsdatum
04.01.2019
Verlag
Springer US
Erschienen in
Cognitive Computation / Ausgabe 3/2019
Print ISSN: 1866-9956
Elektronische ISSN: 1866-9964
DOI
https://doi.org/10.1007/s12559-018-9612-7

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