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Proposing an intelligent information retrieval (IIR) framework for shariah sources retrieval in Islamic financial industry

This research proposes a framework of Intelligent Information Retrieval (IIR) for Shariah sources using Support Vector Machine (SVM) for Shariah decision making in Islamic Financial Industry (IFI). In addition, needs towards an automatic indexing platform for Shariah sources is also discussed in thi...

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Main Authors: Che Mohd Salleh, Marhanum, Mohd Nor, Rizal
Format: Article
Language:English
Published: NUN Gemilang Enterprise 2021
Subjects:
HG Finance
HG1501 Banking
T Technology (General)
Online Access:http://irep.iium.edu.my/94621/1/94621_Proposing%20an%20intelligent%20information%20retrieval%20%28IIR%29.pdf
http://irep.iium.edu.my/94621/
https://tijarijournal.com/index.php/home/about
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spelling my.iium.irep.946212021-12-10T02:44:31Z http://irep.iium.edu.my/94621/ Proposing an intelligent information retrieval (IIR) framework for shariah sources retrieval in Islamic financial industry Che Mohd Salleh, Marhanum Mohd Nor, Rizal HG Finance HG1501 Banking T Technology (General) This research proposes a framework of Intelligent Information Retrieval (IIR) for Shariah sources using Support Vector Machine (SVM) for Shariah decision making in Islamic Financial Industry (IFI). In addition, needs towards an automatic indexing platform for Shariah sources is also discussed in this research. Qualitative research methodology is adopted to review past literatures on IIR, data indexing, and SVM, the popular method of algorithms classification for text categorization. This research would be significant to Islamic banking industry in terms of strengthening the compliancy of the industry towards Shariah (Islamic rules) by proposing an IIR to the industry players. It also would add to the literature on Islamic finance especially in the context of financial technology. This research serves as a cross-field research that integrate the field of technology, Islamic finance, legal, and Shariah for an innovation. NUN Gemilang Enterprise 2021-03 Article PeerReviewed application/pdf en http://irep.iium.edu.my/94621/1/94621_Proposing%20an%20intelligent%20information%20retrieval%20%28IIR%29.pdf Che Mohd Salleh, Marhanum and Mohd Nor, Rizal (2021) Proposing an intelligent information retrieval (IIR) framework for shariah sources retrieval in Islamic financial industry. TIJARI International Journal of Islamic Economics, Business, and Entrepreneurship, 1 (1). pp. 57-70. E-ISSN 2785-8960 https://tijarijournal.com/index.php/home/about
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic HG Finance
HG1501 Banking
T Technology (General)
spellingShingle HG Finance
HG1501 Banking
T Technology (General)
Che Mohd Salleh, Marhanum
Mohd Nor, Rizal
Proposing an intelligent information retrieval (IIR) framework for shariah sources retrieval in Islamic financial industry
description This research proposes a framework of Intelligent Information Retrieval (IIR) for Shariah sources using Support Vector Machine (SVM) for Shariah decision making in Islamic Financial Industry (IFI). In addition, needs towards an automatic indexing platform for Shariah sources is also discussed in this research. Qualitative research methodology is adopted to review past literatures on IIR, data indexing, and SVM, the popular method of algorithms classification for text categorization. This research would be significant to Islamic banking industry in terms of strengthening the compliancy of the industry towards Shariah (Islamic rules) by proposing an IIR to the industry players. It also would add to the literature on Islamic finance especially in the context of financial technology. This research serves as a cross-field research that integrate the field of technology, Islamic finance, legal, and Shariah for an innovation.
format Article
author Che Mohd Salleh, Marhanum
Mohd Nor, Rizal
author_facet Che Mohd Salleh, Marhanum
Mohd Nor, Rizal
author_sort Che Mohd Salleh, Marhanum
title Proposing an intelligent information retrieval (IIR) framework for shariah sources retrieval in Islamic financial industry
title_short Proposing an intelligent information retrieval (IIR) framework for shariah sources retrieval in Islamic financial industry
title_full Proposing an intelligent information retrieval (IIR) framework for shariah sources retrieval in Islamic financial industry
title_fullStr Proposing an intelligent information retrieval (IIR) framework for shariah sources retrieval in Islamic financial industry
title_full_unstemmed Proposing an intelligent information retrieval (IIR) framework for shariah sources retrieval in Islamic financial industry
title_sort proposing an intelligent information retrieval (iir) framework for shariah sources retrieval in islamic financial industry
publisher NUN Gemilang Enterprise
publishDate 2021
url http://irep.iium.edu.my/94621/1/94621_Proposing%20an%20intelligent%20information%20retrieval%20%28IIR%29.pdf
http://irep.iium.edu.my/94621/
https://tijarijournal.com/index.php/home/about
_version_ 1718925653047246848
score 13.211869

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