2020 VOL.3 Feb No.1

• Title: Research on Cloud Computing-Based Clustering Algorithm for Heterogeneous Network Privacy Big Data Set
• Name: Amalar Ethinam
• Company: Namseoul University
• Abstract:

  In order to solve the problems of inaccurate results and large randomness of the single clustering algorithm, and the existing algorithms will generate errors when converting large privacy data sets into numerical models. A cloud computing-based clustering algorithm for heterogeneous network privacy large data sets is proposed. The algorithm uses the advantages of cloud computing to collect and extract features of large data sets. Then use the similarity method to carry out the mining process of large data sets, so as to realize the clustering calculation process of large data sets. The algorithm is verified on the UCI data set, and the results show that the efficiency and accuracy of the clustering algorithm based on cloud computing for large data sets are better than existing algorithms, indicating that the algorithm design and update strategy are effective.

• Keyword: Cloud Computing; Heterogeneous Network; Large Data Set; Clustering Algorithm; Similarity
• DOI: 10.12250/jpciams2020010112
• Citation form: Amalar Ethinam.Research on Cloud Computing-Based Clustering Algorithm for Heterogeneous Network Privacy Big Data Set[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 154-159.

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