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A New Intelligent Optimization Network Online Learning Behavior in Multimedia Big Data Environment

A New Intelligent Optimization Network Online Learning Behavior in Multimedia Big Data Environment

Shao Heng
Copyright: © 2017 |Volume: 8 |Issue: 3 |Pages: 11
ISSN: 1937-9412|EISSN: 1937-9404|EISBN13: 9781522511977|DOI: 10.4018/IJMCMC.2017070102
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MLA

Heng, Shao. "A New Intelligent Optimization Network Online Learning Behavior in Multimedia Big Data Environment." IJMCMC vol.8, no.3 2017: pp.21-31. http://doi.org/10.4018/IJMCMC.2017070102

APA

Heng, S. (2017). A New Intelligent Optimization Network Online Learning Behavior in Multimedia Big Data Environment. International Journal of Mobile Computing and Multimedia Communications (IJMCMC), 8(3), 21-31. http://doi.org/10.4018/IJMCMC.2017070102

Chicago

Heng, Shao. "A New Intelligent Optimization Network Online Learning Behavior in Multimedia Big Data Environment," International Journal of Mobile Computing and Multimedia Communications (IJMCMC) 8, no.3: 21-31. http://doi.org/10.4018/IJMCMC.2017070102

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Abstract

In the era of multimedia big data, the online learning behavior of users becomes rich and colorful. This paper proposes a hybrid clonal selection differential evolution optimization algorithm based on clonal selection algorithm and differential evolution in multimedia big data environment. The proposed intelligent optimization algorithm treats each e-learning behavior of the user as an antibody, and gets the best results of multimedia big data mining by a number of iterative searches. Experimental results show the feasibility and effectiveness of the proposed intelligent optimization algorithm.

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