PEMODELAN RESIKO KREDIT DENGAN PENDEKATAN SUPPORT VECTOR MACHINE SUPPORT VECTOR MACHINE APPROACH TO CREDIT RISK

• المؤلفون الرئيسيون: , CHRISTINA EVA NURYANI, , Dr. rer.nat. Dedi Rosadi, M.Sc.
• التنسيق: Theses and Dissertations NonPeerReviewed
• منشور في: [Yogyakarta] : Universitas Gadjah Mada 2012
• الموضوعات: ETD
• الوصول للمادة أونلاين: https://repository.ugm.ac.id/98055/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=54586
• المؤسسة: Universitas Gadjah Mada

This study focuses on classification models using Support Vector Machine approach. This SVM has the advantage of data computation. The computation of finite data with complexity of the variables can be done using SVM. SVM for classification was applied in credit risk management. Classification was a...