Effective combination and application path of computer big data analysis and cloud computing network technology

• Published in: Applied mathematics and nonlinear sciences Vol. 9; no. 1
• Main Author: Liu, Shuye
• Format: Journal Article
• Language: English
• Published: Sciendo 01-01-2024
• Subjects: 68T05; Attribute combination; Cloud computing networks; Data mining algorithms; Normalization process; Weight vectors
• ISSN: 2444-8656; 2444-8656
• DOI: 10.2478/amns.2023.2.00976

In this paper, based on the data mining algorithm to obtain a collection of big data attributes, the information entropy detection is used to analyze the data distribution characteristics, and the clustering center is extracted. Normalize the feature data, calculate the judgment matrix in the mining process based on the condition set, and perform normalization. The redundant features are extracted from the data to be mined, and the weight vector value of each feature is obtained to obtain the processed feature subset. The results show that the importance score and security score are above 6. The combination with cloud computing network technology in computer big data analysis helps improve data processing efficiency and provides more reliable data support for social and economic development.