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DOI: 10.14569/IJACSA.2022.0130501
PDF

Implementation of Data Mining on a Secure Cloud Computing over a Web API using Supervised Machine Learning Algorithm

Author 1: Tosin Ige
Author 2: Sikiru Adewale

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 5, 2022.

  • Abstract and Keywords
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Abstract: Ever since the era of internet had ushered in cloud computing, there had been increase in the demand for the unlimited data available through cloud computing for data analysis, pattern recognition and technology advancement. With this also bring the problem of scalability, efficiency and security threat. This research paper focuses on how data can be dynamically mine in real time for pattern detection in a secure cloud computing environment using combination of decision tree algorithm and Random Forest over a restful Application Programming Interface (API). We are able to successfully Implement data mining on cloud computing bypassing or avoiding direct interaction with data warehouse and without any terminal involve by using combination of IBM Cloud storage facility, Amazing Web Service, Application Programming Interface and Window service along with a decision tree and Random Forest algorithm for our classifier. We were able to successfully bypass direct connection with the data warehouse and cloud terminal with 94% accuracy in our model.

Keywords: Cloud computing; data warehouse; data mining; window service; Web API; machine learning algorithm; secure cloud computing

Tosin Ige and Sikiru Adewale, “Implementation of Data Mining on a Secure Cloud Computing over a Web API using Supervised Machine Learning Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 13(5), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130501

@article{Ige2022,
title = {Implementation of Data Mining on a Secure Cloud Computing over a Web API using Supervised Machine Learning Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130501},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130501},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {5},
author = {Tosin Ige and Sikiru Adewale}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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