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Construction Of Data Mining Platform In Cloud Computing Environment
Construction Of Data Mining Platform In Cloud Computing Environment
- Source :
- 2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP).
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- In order to solve the problem of low accuracy of data mining in traditional data mining platforms, the construction of data mining platform in the cloud computing environment is proposed. Based on the data mining platform architecture design in the cloud computing environment, and the data collection and scheduling center design, completed the hardware design of the data mining platform in the cloud computing environment; Relying on the cloud strategy design of data mining and the parallel design of mining algorithm, the software design of the data mining platform in the cloud computing environment is realized and the construction of the data mining platform in the cloud computing environment is completed. Experimental data show that the proposed data mining platform, compared with the traditional mining platform, improves the mining accuracy by 47.29%, which is suitable for data mining in the cloud computing environment.
- Subjects :
- 020203 distributed computing
Data collection
Computer science
business.industry
Computer Science::Information Retrieval
Parallel design
InformationSystems_DATABASEMANAGEMENT
Experimental data
020207 software engineering
Cloud computing
02 engineering and technology
Architecture design
computer.software_genre
Data mining algorithm
Scheduling (computing)
ComputingMethodologies_PATTERNRECOGNITION
0202 electrical engineering, electronic engineering, information engineering
Software design
Data mining
business
Computer Science::Operating Systems
computer
Computer Science::Databases
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP)
- Accession number :
- edsair.doi.dedup.....32816793e8facbfbd97e5121401c0485
- Full Text :
- https://doi.org/10.1109/icsp51882.2021.9408750