Data Asset Valuation and Security: A Distributed Machine Learning Approach
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| Publicado en: | International Journal of E-Collaboration vol. 21, no. 1 (2025), p. 1-25 |
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| Autor principal: | |
| Otros Autores: | , , , , |
| Publicado: |
IGI Global
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text - PDF |
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|---|---|---|---|
| 001 | 3268135102 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1548-3673 | ||
| 022 | |a 1548-3681 | ||
| 024 | 7 | |a 10.4018/IJeC.392027 |2 doi | |
| 035 | |a 3268135102 | ||
| 045 | 2 | |b d20250101 |b d20250331 | |
| 084 | |a 78805 |2 nlm | ||
| 100 | 1 | |a Yang, Ling |u Finance and Assets Department, State Grid Zhejiang Electric Power Co., Ltd., China | |
| 245 | 1 | |a Data Asset Valuation and Security: A Distributed Machine Learning Approach | |
| 260 | |b IGI Global |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a With the development of Internet technology, the amount of enterprise data has surged and become a core asset. In e-commerce, data security not only protects data, but also affects the ability of transforming data into assets, thus enhancing the competitiveness of enterprises. This study proposes a system framework based on distributed machine learning to enhance data integrity and network security. The system integrates advanced algorithms, effectively processes large-scale data sets, and performs well in cloud image classification tasks. Experiments show that the energy consumption of the system is reduced by 68.92% and the task processing speed is increased by 4.67 times. In addition, the data quality evaluation model is studied to provide decision support for e-commerce enterprises. These innovations provide a new perspective for data asset evaluation and security and also support the application of distributed machine learning in e-commerce. | |
| 653 | |a Data processing | ||
| 653 | |a Experiments | ||
| 653 | |a Security | ||
| 653 | |a Classification | ||
| 653 | |a Competition | ||
| 653 | |a Internet | ||
| 653 | |a Machine learning | ||
| 653 | |a Energy consumption | ||
| 653 | |a Companies | ||
| 653 | |a Trade | ||
| 653 | |a Data quality | ||
| 653 | |a Assets | ||
| 653 | |a Electronic commerce | ||
| 653 | |a Competitiveness | ||
| 653 | |a Valuation | ||
| 653 | |a Quality assessment | ||
| 653 | |a Business competition | ||
| 653 | |a Innovations | ||
| 653 | |a Morality | ||
| 653 | |a Image classification | ||
| 653 | |a Data integrity | ||
| 700 | 1 | |a Zhang, Yihong |u Strategy Research Center, Techno-Economic Research Institute of State Grid Zhejiang Electric Power Co., Ltd., China | |
| 700 | 1 | |a Feng, Ye |u Strategy Research Center, Techno-Economic Research Institute of State Grid Zhejiang Electric Power Co., Ltd., China | |
| 700 | 1 | |a Xue, Jun |u Integrated Service Center, State Grid Zhejiang Electric Power Co., Ltd., China | |
| 700 | 1 | |a Dong, Danhuang |u Strategy Research Center, Techno-Economic Research Institute of State Grid Zhejiang Electric Power Co., Ltd., China | |
| 700 | 1 | |a Luo, Zhejun |u Finance and Assets Department, Huzhou Power Supply Company of State Grid Zhejiang Electric Power Co., Ltd., China | |
| 773 | 0 | |t International Journal of E-Collaboration |g vol. 21, no. 1 (2025), p. 1-25 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3268135102/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3268135102/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |