Multiple phases-based classifications for cloud services

Abdullah Ali*, Siti Mariyam Shamsuddin, Fathy E. Eassa, Faisal Saeed

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    1 Citation (SciVal)
    Original languageEnglish
    Pages (from-to)341-354
    Number of pages14
    JournalInternational Journal of Computer Aided Engineering and Technology
    Issue number4
    Publication statusPublished (VoR) - 2018


    The authors would like to thank the Universiti Teknologi Malaysia (UTM) for their support in research and development; UTM Big Data Centre and the Soft Computing Research Group (SCRG) for the inspiration in making this study a success. This research is partially funded by Q.J130000.2428.02G70; Q.J130000.2428.02G50 and Q.J130000. 2409.03G17. The authors also wish to extend their grateful appreciation and thank to the editor and anonymous reviewers for precious advice and useful comments on the manuscript.

    FundersFunder number
    Universiti Teknologi Malaysia
    Centro de Investigación en ComputaciónQ.J130000.2428.02G50


      • Classification
      • Cloud computing
      • Cloud services
      • Cloud services discovery
      • Features selection
      • Naïve Bayes
      • Pre-processing
      • Standard deviation
      • Support vector machine
      • SVM
      • Topic modelling


      Dive into the research topics of 'Multiple phases-based classifications for cloud services'. Together they form a unique fingerprint.

      Cite this