Effective combination and application path of computer big data analysis and cloud computing network technology
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...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
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| Online Access: | https://doi.org/10.2478/amns.2023.2.00976 |
| _version_ | 1797340641390231552 |
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| author | Liu Shuye |
| author_facet | Liu Shuye |
| author_sort | Liu Shuye |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T10:06:08Z |
| format | Article |
| id | doaj.art-cd45f541d8954034904c760f159bafbd |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:06:08Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-cd45f541d8954034904c760f159bafbd2024-01-29T08:52:38ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.00976Effective combination and application path of computer big data analysis and cloud computing network technologyLiu Shuye01School of Economics and Management, Shanghai Donghai Vocational and Technical College, Shanghai, 200241, China.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.https://doi.org/10.2478/amns.2023.2.00976data mining algorithmsattribute combinationcloud computing networksweight vectorsnormalization process68t05 |
| spellingShingle | Liu Shuye Effective combination and application path of computer big data analysis and cloud computing network technology Applied Mathematics and Nonlinear Sciences data mining algorithms attribute combination cloud computing networks weight vectors normalization process 68t05 |
| title | Effective combination and application path of computer big data analysis and cloud computing network technology |
| title_full | Effective combination and application path of computer big data analysis and cloud computing network technology |
| title_fullStr | Effective combination and application path of computer big data analysis and cloud computing network technology |
| title_full_unstemmed | Effective combination and application path of computer big data analysis and cloud computing network technology |
| title_short | Effective combination and application path of computer big data analysis and cloud computing network technology |
| title_sort | effective combination and application path of computer big data analysis and cloud computing network technology |
| topic | data mining algorithms attribute combination cloud computing networks weight vectors normalization process 68t05 |
| url | https://doi.org/10.2478/amns.2023.2.00976 |
| work_keys_str_mv | AT liushuye effectivecombinationandapplicationpathofcomputerbigdataanalysisandcloudcomputingnetworktechnology |