Secure and Scalable Data Mining Technique over a Restful Web Services

International Journal of Research and Innovation in Applied Science (forthcoming)
  Copy   BIBTEX

Abstract

Scalability, efficiency, and security had been a persistent problem over the years in data mining, several techniques had been proposed and implemented but none had been able to solve the problem of scalability, efficiency and security from cloud computing. In this research, we solve the problem scalability, efficiency and security in data mining over cloud computing by using a restful web services and combination of different technologies and tools, our model was trained by using different machine learning algorithm, and finally using different validation and cross-validation methods to compare and validate our results. We build, train, test and deploy our model by restful API services which can be called through an endpoint, and with very high accuracy and huge success.

Author's Profile

Analytics

Added to PP
2023-08-29

Downloads
164 (#89,847)

6 months
71 (#77,640)

Historical graph of downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.
How can I increase my downloads?