Clustering Web Users Based on K-means Algorithm for Reducing Time Access Cost

Maged Nasser, Hentabli Hamza, Naomie Salim, Faisal Saeed

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Original languageEnglish
    Title of host publication2019 1st International Conference of Intelligent Computing and Engineering
    Subtitle of host publicationToward Intelligent Solutions for Developing and Empowering our Societies, ICOICE 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781728144870
    DOIs
    Publication statusPublished (VoR) - Dec 2019
    Event1st International Conference of Intelligent Computing and Engineering, ICOICE 2019 - Hadhramout, Yemen
    Duration: 15 Dec 201916 Dec 2019

    Publication series

    Name2019 1st International Conference of Intelligent Computing and Engineering: Toward Intelligent Solutions for Developing and Empowering our Societies, ICOICE 2019

    Conference

    Conference1st International Conference of Intelligent Computing and Engineering, ICOICE 2019
    Country/TerritoryYemen
    CityHadhramout
    Period15/12/1916/12/19

    Funding

    ACKNOWLEDGMENT This work is supported by the Ministry of Higher Education (MOHE) and the Research Management Centre (RMC) at the Universiti Teknologi Malaysia (UTM) under the Research University Grant Category (R.J130000.7828.4F985).

    FundersFunder number
    Research Management Centre
    Ministry of Higher Education
    Universiti Teknologi MalaysiaR.J130000.7828.4F985

      Keywords

      • K-Means
      • Residual Sum of Squares (RSS)
      • Similarity
      • Uniform Resource Locator (URL)
      • Vector Matrix
      • web usage mining (WUM)
      • Web User Clustering

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