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

被引：0
|
作者：
Sara del Río
Victoria López
José Manuel Benítez
Francisco Herrera
机构：
[1] University of Granada,Dept. of Computer Science and Artificial Intelligence, CITIC
来源：
International Journal of Computational Intelligence Systems | 2015年 / 8卷
关键词：
Fuzzy rule based classification systems; Big data; MapReduce; Hadoop; Rules fusion;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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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收藏
页码：422 / 437
页数：15
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