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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
NUN Gemilang Enterprise
2021
|
| Subjects: | |
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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. |
|---|