Design and analysis of management platform based on financial big data
Traditional financial accounting will become limited by new technologies which are unable to meet the market development. In order to make financial big data generate business value and improve the information application level of financial management, aiming at the high error rate of current financ...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/107236/ http://psasir.upm.edu.my/id/eprint/107236/1/Design%20and%20analysis%20of%20management%20platform%20based%20on%20financial%20big%20data.pdf |
| _version_ | 1848864868192485376 |
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| author | Chen, Yuhua Mustafa, Hasri Zhang, Xuandong Liu, Jing |
| author_facet | Chen, Yuhua Mustafa, Hasri Zhang, Xuandong Liu, Jing |
| author_sort | Chen, Yuhua |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Traditional financial accounting will become limited by new technologies which are unable to meet the market development. In order to make financial big data generate business value and improve the information application level of financial management, aiming at the high error rate of current financial data classification system, this article adopts the fuzzy clustering algorithm to classify financial data automatically, and adopts the local outlier factor algorithm with neighborhood relation (NLOF) to detect abnormal data. In addition, a financial data management platform based on distributed Hadoop architecture is designed, which combines MapReduce framework with the fuzzy clustering algorithm and the local outlier factor (LOF) algorithm, and uses MapReduce to operate in parallel with the two algorithms, thus improving the performance of the algorithm and the accuracy of the algorithm, and helping to improve the operational efficiency of enterprise financial data processing. The comparative experimental results show that the proposed platform can achieve the best the running efficiency and the accuracy of financial data classification compared with other methods, which illustrate the effectiveness and superiority of the proposed platform. |
| first_indexed | 2025-11-15T13:55:39Z |
| format | Article |
| id | upm-107236 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T13:55:39Z |
| publishDate | 2023 |
| publisher | PeerJ |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1072362024-10-17T03:41:03Z http://psasir.upm.edu.my/id/eprint/107236/ Design and analysis of management platform based on financial big data Chen, Yuhua Mustafa, Hasri Zhang, Xuandong Liu, Jing Traditional financial accounting will become limited by new technologies which are unable to meet the market development. In order to make financial big data generate business value and improve the information application level of financial management, aiming at the high error rate of current financial data classification system, this article adopts the fuzzy clustering algorithm to classify financial data automatically, and adopts the local outlier factor algorithm with neighborhood relation (NLOF) to detect abnormal data. In addition, a financial data management platform based on distributed Hadoop architecture is designed, which combines MapReduce framework with the fuzzy clustering algorithm and the local outlier factor (LOF) algorithm, and uses MapReduce to operate in parallel with the two algorithms, thus improving the performance of the algorithm and the accuracy of the algorithm, and helping to improve the operational efficiency of enterprise financial data processing. The comparative experimental results show that the proposed platform can achieve the best the running efficiency and the accuracy of financial data classification compared with other methods, which illustrate the effectiveness and superiority of the proposed platform. PeerJ 2023-03-07 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/107236/1/Design%20and%20analysis%20of%20management%20platform%20based%20on%20financial%20big%20data.pdf Chen, Yuhua and Mustafa, Hasri and Zhang, Xuandong and Liu, Jing (2023) Design and analysis of management platform based on financial big data. PeerJ Computer Science, 9. art. no. e1231. pp. 1-14. ISSN 2376-5992 https://peerj.com/articles/cs-1231/ 10.7717/peerj-cs.1231 |
| spellingShingle | Chen, Yuhua Mustafa, Hasri Zhang, Xuandong Liu, Jing Design and analysis of management platform based on financial big data |
| title | Design and analysis of management platform based on financial big data |
| title_full | Design and analysis of management platform based on financial big data |
| title_fullStr | Design and analysis of management platform based on financial big data |
| title_full_unstemmed | Design and analysis of management platform based on financial big data |
| title_short | Design and analysis of management platform based on financial big data |
| title_sort | design and analysis of management platform based on financial big data |
| url | http://psasir.upm.edu.my/id/eprint/107236/ http://psasir.upm.edu.my/id/eprint/107236/ http://psasir.upm.edu.my/id/eprint/107236/ http://psasir.upm.edu.my/id/eprint/107236/1/Design%20and%20analysis%20of%20management%20platform%20based%20on%20financial%20big%20data.pdf |