MapReduce-based parallel GEP algorithm for efficient function mining in big data applications-Reference-Cited by-同舟云学术

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MapReduce-based parallel GEP algorithm for efficient function mining in big data applications

Published:2017-12-20 Issue:23 Volume:30 Page:e4379
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Liu Yang¹,Ma Chenxiao¹,Xu Lixiong¹,Shen Xiaodong¹^ORCID,Li Maozhen²³,Li Pengcheng⁴

Affiliation:

1. School of Electrical Engineering and Information; Sichuan University; Chengdu 610065 China

2. Department of Electronic and Computer Engineering; Brunel University London; Uxbridge UB8 3PH UK

3. Key Laboratory of Embedded Systems and Service Computing, Ministry of Education; Tongji University; Shanghai 200092 China

4. State Grid Shanxi Electric Power Company; Xi'an 710048 China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpe.4379/fullpdf

Reference26 articles.

1. Self-learning gene expression programming;Zhong;IEEE Trans Evol Comput,2016

2. Security risk assessment of cyber physical power system based on rough set and gene expression programming;Deng;IEEE/CAA J Automat Sin,2015

3. Chen Y Tang C Li R Zhu M Li C Zuo Jie Reduced-GEP: improving gene expression programming by gene reduction 2010

4. Du X Ding L. Jia L. Asynchronous distributed parallel gene expression programming based on estimation of distribution algorithm 2008

5. Adaptive representations for improving evolvability, parameter control, and parallelization of gene expression programming;Browne;Appl Comput Intell Soft Comput,2010

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1. An improved selective ensemble learning approach in enabling load classification considering base classifier redundancy and class imbalance;Frontiers in Energy Research;2022-09-19

2. Performance enhancement for iterative data computing with in‐memory concurrent processing;Concurrency and Computation: Practice and Experience;2019-12-09

3. Implementing Gene Expression Programming in the Parallel Environment for Big Datasets’ Classification;Vietnam Journal of Computer Science;2019-05

4. High performance deep learning techniques for big data analytics;Concurrency and Computation: Practice and Experience;2018-10-15

5. Parallel GEP Ensemble for Classifying Big Datasets;Computational Collective Intelligence;2018

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