• DocumentCode
    240393
  • Title

    S-Rater: Data mining application in Islamic financial sector

  • Author

    Kartiwi, Mira ; Arundina, Tika ; Omar, Mohd Azmi ; Gunawan, Teddy Surya

  • Author_Institution
    Dept. of Inf. Syst., Int. Islamic Univ. Malaysia, Kuala Lumpur, Malaysia
  • fYear
    2014
  • fDate
    17-18 Nov. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Islamic finance and capital market is one of the fastest growing segments of international financial markets. Recent innovations in Islamic finance and capital market have changed the terrain of the landscape of the financial industry. One of them is Islamic securities which are known as Sukuk. The use of Sukuk as the alternative to the existing conventional bond, has become increasingly popular in the last few years. They are used as a means of raising government finance through sovereign Sukuk issues, and means through which companies raise funds by issuing corporate Sukuk. In addition, theoretically there should be some differences in rating methodologies for bond and Sukuk because these two instruments are different in nature. Thus, it is the aim of this study to identify the important determinants in Sukuk Rating using data mining approach. The final model is then implemented into web application, called S-Rater.
  • Keywords
    Internet; data mining; financial data processing; securities trading; Islamic financial sector; Islamic securities; S-Rater; Sukuk rating; Web application; data mining; Data mining; Decision trees; Finance; Logistics; Neural networks; Predictive models; Training; Islamic financial sector; applications; data mining; decision tree; sukuk;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technology for The Muslim World (ICT4M), 2014 The 5th International Conference on
  • Conference_Location
    Kuching
  • Type

    conf

  • DOI
    10.1109/ICT4M.2014.7020614
  • Filename
    7020614