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Design and implementation of intelligent accounting data analysis platform based on industrial cloud computing
- Source :
- EURASIP Journal on Wireless Communications and Networking, Vol 2020, Iss 1, Pp 1-8 (2020)
- Publication Year :
- 2020
- Publisher :
- SpringerOpen, 2020.
-
Abstract
- In order to improve the ability of accounting data analysis and statistics, a method of constructing modern accounting data analysis platform based on industrial cloud computing is proposed. The time series model of modern accounting data analysis is constructed by using block bit sequence analysis method, and the association rule characteristic quantity of accounting data is extracted. Combined with cloud computing technology, the modern accounting data analysis platform is constructed, and the fuzzy C-means clustering algorithm is used to realize the clustering of modern accounting data, which can improve the ability of parallel computing and statistical analysis of accounting data. The simulation results show that the intelligent data analysis platform designed makes the statistical analysis ability of accounting data better and the parallel computing efficiency higher.
- Subjects :
- Association rule learning
Computer Networks and Communications
Computer science
lcsh:TK7800-8360
Accounting
Cloud computing
02 engineering and technology
Fuzzy logic
Fuzzy C-means clustering algorithm
lcsh:Telecommunication
Industrial cloud computing
030507 speech-language pathology & audiology
03 medical and health sciences
lcsh:TK5101-6720
0202 electrical engineering, electronic engineering, information engineering
Intelligent accounting data analysis
Time series
Cluster analysis
Block (data storage)
business.industry
020208 electrical & electronic engineering
lcsh:Electronics
Computer Science Applications
Signal Processing
Feature extraction
0305 other medical science
business
Subjects
Details
- Language :
- English
- ISSN :
- 16871499
- Volume :
- 2020
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- EURASIP Journal on Wireless Communications and Networking
- Accession number :
- edsair.doi.dedup.....17817c237d48c6198ba794b0b6a278ea