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Ranking of Cloud Services Using Opinion Mining and Multi-Attribute Decision Making: Ranking of Cloud Services Using Opinion Mining and MADM
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Author(s): Srimanyu Timmaraju (Institute for Development and Research in Banking Technology, India), Vadlamani Ravi (Institute for Development and Research in Banking Technology, India)and G. R. Gangadharan (Institute for Development and Research in Banking Technology, India)
Copyright: 2017
Pages: 18
Source title:
Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence
Source Author(s)/Editor(s): Shrawan Kumar Trivedi (BML Munjal University, India), Shubhamoy Dey (Indian Institute of Management, Indore, India), Anil Kumar (BML Munjal University, India)and Tapan Kumar Panda (Jindal Global Business School, India)
DOI: 10.4018/978-1-5225-2031-3.ch022
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Abstract
Cloud computing has been a major focus of business organizations around the world. Many applications are getting migrated to the cloud and many new applications are being developed to run on the cloud. There are already more than 100 cloud service providers in the market offering various cloud services. As the number of cloud services and providers is increasing in the market, it is very important to select the right provider and service for deploying an application. This paper focuses on recommendation of cloud services by ranking them with the help of opinion mining of users' reviews and multi-attribute decision making models (TOPSIS and FMADM were applied separately) in tandem on both quantitative and qualitative data. Surprisingly, both TOPSIS and FMADM yielded the same rankings for the cloud services.
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