Discovering 'interesting' keyword patterns in Hadith chapter documents

Zuraini Zainol, Nohuddin Puteri Nor Ellyza, Mohd T.Hamid Jaymes, Syahaneim Marzukhi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

True Muslims around the world believe in Al Quran and Hadith. Al Quran is the principal religious text of Islam, a revelation from Allah. Hadith is also one of the fundamental sources of Islamic references and guidance for the Muslims after the Holy Book, Al-Quran. Hadith is referred to a report, statement, act, story, narration or discourse. Hadith, originally in Arabic, covers a wide range of issues among Muslims such as spiritual, economic, political and social, administration of inheritance of wealth, etc. Since Muslims come from many races and use different languages, Muslim scholars have translated the chapters into various languages so that Muslims around the world can understand the meaning of it. This paper investigates the frequent patterns that can be found in the chapters of Hadith. By using the technique of Association Rule Mining (ARM), frequent patterns and interesting relationships that can benefits Muslim scholars in making full use of Hadith in assisting them in their daily Islamic life and practice.

Original languageEnglish
Title of host publicationICICTM 2016 - Proceedings of the 1st International Conference on Information and Communication Technology
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages104-108
Number of pages5
ISBN (Electronic)9781509004126
DOIs
Publication statusPublished - 30 Mar 2017
Event1st International Conference on Information and Communication Technology, ICICTM 2016 - Kuala Lumpur, Malaysia
Duration: 16 May 201617 May 2016

Other

Other1st International Conference on Information and Communication Technology, ICICTM 2016
CountryMalaysia
CityKuala Lumpur
Period16/5/1617/5/16

Fingerprint

Association rules
Economics

Keywords

  • Apriori
  • association rule mining
  • frequent patterns mining
  • hadith
  • Text mining

ASJC Scopus subject areas

  • Information Systems
  • Artificial Intelligence
  • Computer Networks and Communications

Cite this

Zainol, Z., Puteri Nor Ellyza, N., Jaymes, M. T. H., & Marzukhi, S. (2017). Discovering 'interesting' keyword patterns in Hadith chapter documents. In ICICTM 2016 - Proceedings of the 1st International Conference on Information and Communication Technology (pp. 104-108). [7890785] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICICTM.2016.7890785

Discovering 'interesting' keyword patterns in Hadith chapter documents. / Zainol, Zuraini; Puteri Nor Ellyza, Nohuddin; Jaymes, Mohd T.Hamid; Marzukhi, Syahaneim.

ICICTM 2016 - Proceedings of the 1st International Conference on Information and Communication Technology. Institute of Electrical and Electronics Engineers Inc., 2017. p. 104-108 7890785.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zainol, Z, Puteri Nor Ellyza, N, Jaymes, MTH & Marzukhi, S 2017, Discovering 'interesting' keyword patterns in Hadith chapter documents. in ICICTM 2016 - Proceedings of the 1st International Conference on Information and Communication Technology., 7890785, Institute of Electrical and Electronics Engineers Inc., pp. 104-108, 1st International Conference on Information and Communication Technology, ICICTM 2016, Kuala Lumpur, Malaysia, 16/5/16. https://doi.org/10.1109/ICICTM.2016.7890785
Zainol Z, Puteri Nor Ellyza N, Jaymes MTH, Marzukhi S. Discovering 'interesting' keyword patterns in Hadith chapter documents. In ICICTM 2016 - Proceedings of the 1st International Conference on Information and Communication Technology. Institute of Electrical and Electronics Engineers Inc. 2017. p. 104-108. 7890785 https://doi.org/10.1109/ICICTM.2016.7890785
Zainol, Zuraini ; Puteri Nor Ellyza, Nohuddin ; Jaymes, Mohd T.Hamid ; Marzukhi, Syahaneim. / Discovering 'interesting' keyword patterns in Hadith chapter documents. ICICTM 2016 - Proceedings of the 1st International Conference on Information and Communication Technology. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 104-108
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