Clustering web users for reductions the internet traffic load and users access cost based on K-means algorithm

Maged Nasser*, Naomie Salim, Hentabli Hamza, Faisal Saeed

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    7 Citations (SciVal)
    Original languageEnglish
    Pages (from-to)3154-3161
    Number of pages8
    JournalInternational Journal of Engineering and Technology(UAE)
    Volume7
    Issue number4
    DOIs
    Publication statusPublished (VoR) - 2018

    Funding

    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 (VOT Q.J130000.2528.16H74 and R.J130000.7828.4F985)

    FundersFunder number
    Ministry of Higher Education
    Universiti Teknologi Malaysia

      Keywords

      • K-Means
      • Similarity
      • Vector matrix
      • Web user clustering

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