Computer Data Processing Mode in the Era of Big Data

Authors

  • Lian Jin School of Mathematics and Computer Science, Jianghan University, Wuhan, Hubei, 430056, China

Abstract

The current big data cluster mining technique is based on the sampling of data, and the representative data is used to conduct the cluster analysis with point-to-face. For the processing of massive amounts of data, sample extraction probability is the most commonly-used method. However, this approach does not take into account the uneven distribution of the data. This research analyzes the data mining algorithms applied in the era of big data from the perspective of computer algorithms, and proposes an improved algorithm for big data processing. Moreover, this paper compares the performance of the proposed algorithm with that of the traditional algorithm. The research shows that the method proposed in this study is effective and applicable, and can provide a theoretical foundation for subsequent related research.

Keywords: big data; data mining; computer data; data processing; cloud computing

Cite As

L. Jin, "Computer Data Processing Mode in the Era of Big Data", Engineering Intelligent Systems,
vol. 27 no. 4, pp. 155-166, 2019.



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Published

2019-12-01

Issue

Vol. 27 No. 4 (2019): International Journal of Engineering Intelligent Systems

Section

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