An enhanced accelerator frequent pattern growth for Association Rules Mining

Mokhtar Al-Hamadi*, Mossab Ghillan, Faisal Saeed

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    1 Citation (SciVal)
    Original languageEnglish
    Pages (from-to)192-205
    Number of pages14
    JournalInternational Journal of Advances in Soft Computing and its Applications
    Volume10
    Issue number2
    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).

    FundersFunder number
    Research Management Centre
    Ministry of Higher Education
    Universiti Teknologi MalaysiaVOT Q.J130000.2528.16H74

      Keywords

      • Association rules mining
      • FP-Growth Algorithm
      • Frequent Itemsets Table (FIT)
      • Frequent pattern
      • Itemset

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