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
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Abstract
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.
| Item Type: | Article (Journal) |
|---|---|
| Uncontrolled Keywords: | Intelligent Information Retrieval (IIR), Support Vector Machine (SVM), Shariah decision making, Islamic Financial Industry |
| Subjects: | H Social Sciences > HG Finance H Social Sciences > HG Finance > HG1501 Banking T Technology > T Technology (General) |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science |
| Depositing User: | Dr. Marhanum Che Mohd Salleh |
| Date Deposited: | 10 Dec 2021 10:44 |
| Last Modified: | 10 Dec 2021 10:44 |
| URI: | http://irep.iium.edu.my/id/eprint/94621 |
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