• DocumentCode
    240500
  • Title

    Frequent pattern extraction in the Tafseer of Al-Quran

  • Author

    Chua, Stephanie ; binti Nohuddin, Puteri Nor Ellyza

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Technol., Univ. Malaysia Sarawak, Kota Samarahan, Malaysia
  • fYear
    2014
  • fDate
    17-18 Nov. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The Al-Quran is a book of comprehensive codes for Muslims to obey the commandments of Allah in order to live a good, faithful and rewarding life. Muslim´s faith and practice refer primarily to the Al-Quran. The Al-Quran contains many subjects that concern us as human beings, including wisdom, doctrine, worship and law, including the relationship between Allah and His creatures. Being the principle book of the Muslim´s faith, the Al-Quran has been translated into many languages to assist Muslims around the world to make use of it in their daily lives. Thus, studies on the Al-Quran have since gain popularity, particularly to extract implicit knowledge in the subject matters of the Al-Quran. This research investigates the frequent patterns that can be found in the chapters of a Malay translated Tafseer of the Al-Quran. Using a technique of frequent pattern mining, non-trivial patterns and interesting relations in the chapters of the Tafseer are extracted. These patterns and relations can help benefit Islamic scholars and Muslims to leverage on the subject matters in the Al-Quran in their daily lives and practices.
  • Keywords
    data mining; humanities; Al-Quran; Allah commandments; Islamic scholars; Malay translated Tafseer; Muslim faith; comprehensive codes; frequent pattern extraction; frequent pattern mining; human beings; nontrivial patterns; Decision support systems; Al-Quran; Apriori; Frequent Pattern Mining; Tafseer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technology for The Muslim World (ICT4M), 2014 The 5th International Conference on
  • Conference_Location
    Kuching
  • Type

    conf

  • DOI
    10.1109/ICT4M.2014.7020667
  • Filename
    7020667