Discovering “interesting” keyword patterns in Hadith chapter documents

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.

[1]  Baiq Siska Febriani Astuti,et al.  Sequential Pattern Mining of Hadith Narrator with Sequential Pattern Discovery Using Equivalent Classes ( SPADE ) Algorithm , 2015 .

[2]  Rakesh Agarwal,et al.  Fast Algorithms for Mining Association Rules , 1994, VLDB 1994.

[3]  Kawther Aldhaln,et al.  Improving knowledge extraction of Hadith classifier using decision tree algorithm , 2012, 2012 International Conference on Information Retrieval & Knowledge Management.

[4]  Bhushan Inje,et al.  Operational pattern revealing technique in text mining , 2014, 2014 IEEE Students' Conference on Electrical, Electronics and Computer Science.

[5]  Ahmad Lotfi,et al.  Smart homes for the elderly dementia sufferers: identification and prediction of abnormal behaviour , 2012, J. Ambient Intell. Humaniz. Comput..

[6]  Akram M. Zeki,et al.  Knowledge Extraction In Hadith Using Data Mining Technique , 2012 .

[7]  Sonal S. Honale,et al.  A Research on Big Data Analysis & Processing With Data Mining Techniques , 2015 .

[8]  Nizar R. Mabroukeh,et al.  A taxonomy of sequential pattern mining algorithms , 2010, CSUR.

[9]  Zuraini Zainol,et al.  Keyword based Clustering Technique for Collections of Hadith Chapters , 2016 .

[10]  King Abdullah,et al.  Knowledge Discovery in Al-Hadith Using Text Classification Algorithm , 2010 .

[11]  Ramakrishnan Srikant,et al.  Fast algorithms for mining association rules , 1998, VLDB 1998.

[12]  Klong Luang,et al.  Application of a Mining Algorithm to Finding Frequent Patterns in a Text Corpus: A Case Study of the Arabic , 2012 .

[13]  F. Harrag,et al.  Using association rules for ontology extraction from a Quran corpus , 2014 .

[14]  Stephanie Chua,et al.  Frequent pattern extraction in the Tafseer of Al-Quran , 2014, The 5th International Conference on Information and Communication Technology for The Muslim World (ICT4M).

[15]  Tomasz Imielinski,et al.  Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.

[16]  Daniel T. Larose,et al.  Discovering Knowledge in Data: An Introduction to Data Mining , 2005 .

[17]  Vipin Kumar,et al.  Introduction to Data Mining , 2022, Data Mining and Machine Learning Applications.