Paper
1 June 2023 An improved data mining algorithm in cloud computing platform
Xiaoyan Chen, Kun Zhang, Saimei Jiao, Jing Chen
Author Affiliations +
Proceedings Volume 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022); 126253J (2023) https://doi.org/10.1117/12.2670436
Event: International Conference on Mathematics, Modeling and Computer Science (MMCS2022),, 2022, Wuhan, China
Abstract
In this paper, introduces the relevant knowledge of cloud computing and data mining, focuses on the collaborative filtering algorithm used in data mining, and analyzes the role of this algorithm in data mining, compares the advantages and disadvantages of this algorithm, Aiming at the disadvantages of collaborative filtering algorithm, this paper proposes an improved collaborative filtering algorithm. Through the experimental analysis, the improved collaborative filtering algorithm is superior to the traditional collaborative filtering algorithm in performance.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaoyan Chen, Kun Zhang, Saimei Jiao, and Jing Chen "An improved data mining algorithm in cloud computing platform", Proc. SPIE 12625, International Conference on Mathematics, Modeling, and Computer Science (MMCS2022), 126253J (1 June 2023); https://doi.org/10.1117/12.2670436
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KEYWORDS
Data mining

Tunable filters

Cloud computing

Mining

Data modeling

Detection and tracking algorithms

Matrices

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