![](/images/graphics-bg.png)
Parallelizing Gene Expression Programming Algorithm in Enabling Large-Scale Classification
Joint Authors
Liu, Yang
Xu, Lixiong
Huang, Yuan
Shen, Xiaodong
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
As one of the most effective function mining algorithms, Gene Expression Programming (GEP) algorithm has been widely used in classification, pattern recognition, prediction, and other research fields.
Based on the self-evolution, GEP is able to mine an optimal function for dealing with further complicated tasks.
However, in big data researches, GEP encounters low efficiency issue due to its long time mining processes.
To improve the efficiency of GEP in big data researches especially for processing large-scale classification tasks, this paper presents a parallelized GEP algorithm using MapReduce computing model.
The experimental results show that the presented algorithm is scalable and efficient for processing large-scale classification tasks.
American Psychological Association (APA)
Xu, Lixiong& Huang, Yuan& Shen, Xiaodong& Liu, Yang. 2017. Parallelizing Gene Expression Programming Algorithm in Enabling Large-Scale Classification. Scientific Programming،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1203432
Modern Language Association (MLA)
Xu, Lixiong…[et al.]. Parallelizing Gene Expression Programming Algorithm in Enabling Large-Scale Classification. Scientific Programming No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1203432
American Medical Association (AMA)
Xu, Lixiong& Huang, Yuan& Shen, Xiaodong& Liu, Yang. Parallelizing Gene Expression Programming Algorithm in Enabling Large-Scale Classification. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1203432
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203432