A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules

The big data term is used to describe the exponential data growth that has recently occurred and represents an immense challenge for traditional learning techniques. To deal with big data classification problems we propose the Chi-FRBCS-BigData algorithm, a linguistic fuzzy rule-based classification...

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Main Authors: Sara del Río, Victoria López, José Manuel Benítez, Francisco Herrera
Format: Article
Language:English
Published: Springer 2015-06-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/25868606.pdf
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author Sara del Río
Victoria López
José Manuel Benítez
Francisco Herrera
author_facet Sara del Río
Victoria López
José Manuel Benítez
Francisco Herrera
author_sort Sara del Río
collection DOAJ
description The big data term is used to describe the exponential data growth that has recently occurred and represents an immense challenge for traditional learning techniques. To deal with big data classification problems we propose the Chi-FRBCS-BigData algorithm, a linguistic fuzzy rule-based classification system that uses the MapReduce framework to learn and fuse rule bases. It has been developed in two versions with different fusion processes. An experimental study is carried out and the results obtained show that the proposal is able to handle these problems providing competitive results.
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spelling doaj.art-242dc903934b4675bfdcda35da76f0f32022-12-22T01:57:25ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832015-06-018310.1080/18756891.2015.1017377A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy RulesSara del RíoVictoria LópezJosé Manuel BenítezFrancisco HerreraThe big data term is used to describe the exponential data growth that has recently occurred and represents an immense challenge for traditional learning techniques. To deal with big data classification problems we propose the Chi-FRBCS-BigData algorithm, a linguistic fuzzy rule-based classification system that uses the MapReduce framework to learn and fuse rule bases. It has been developed in two versions with different fusion processes. An experimental study is carried out and the results obtained show that the proposal is able to handle these problems providing competitive results.https://www.atlantis-press.com/article/25868606.pdfFuzzy rule based classification systemsBig dataMapReduceHadoopRules fusion
spellingShingle Sara del Río
Victoria López
José Manuel Benítez
Francisco Herrera
A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules
International Journal of Computational Intelligence Systems
Fuzzy rule based classification systems
Big data
MapReduce
Hadoop
Rules fusion
title A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules
title_full A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules
title_fullStr A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules
title_full_unstemmed A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules
title_short A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules
title_sort mapreduce approach to address big data classification problems based on the fusion of linguistic fuzzy rules
topic Fuzzy rule based classification systems
Big data
MapReduce
Hadoop
Rules fusion
url https://www.atlantis-press.com/article/25868606.pdf
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