2020 VOL.3 Feb No.1

• Title: Research on Improvement of Data Mining Algorithm Based on
• Name: Jatinderku Antonio
• Company: Punjabi University
• Abstract:

  In the cloud computing environment, in order to solve the problems of poor data clustering and slow data mining speed in conventional data mining algorithms, the "Internet +" system is used to improve the data mining algorithm. Combine the multiple sampling results to determine the mining center of the data set. Based on this, the multi-level variable weighting concept and Euclidean distance algorithm are introduced to control the data convergence speed and critical value in the data mining process, and to realize the optimal design of the data mining algorithm. The results of simulation experiments show that the data mining speed of the improved algorithm is increased by 37.25%, and it has higher allocation accuracy, the data clustering effect is very good, and it is superior to conventional algorithms.

• Keyword: Cloud Computing;
• DOI: 10.12250/jpciams2020010117
• Citation form: Jatinderku Antonio.Research on Improvement of Data Mining Algorithm Based on [J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 121-126.

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