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

• Main Authors: , CHRISTINA EVA NURYANI, , Dr. rer.nat. Dedi Rosadi, M.Sc.
• 格式: Theses and Dissertations NonPeerReviewed
• 出版: [Yogyakarta] : Universitas Gadjah Mada 2012
• 主題: ETD
• 在線閱讀: 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

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...