Browsing 09 School of Computing and Technology by Subject "Support Vector Machines"

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A Comparative Analysis of Machine Learning Techniques for Credit Scoring

Nwulu, Nnamdi; Oroja, Shola; İlkan, Mustafa (Information - Yamaguchi, 2012-10)

Abstract Credit Scoring has become an oft researched topic in light of the increasing volatility of the global economy and the recent world financial crisis. Amidst the many methods used for credit scoring, machine ...
Credit Scoring Using Soft Computing Schemes: A Comparison between Support Vector Machines and Artificial Neural Networks

Nwulu, Nnamdi; Oroja, Shola; İlkan, Mustafa (Springer Berlin Heidelberg, 2011)

The recent financial crisis that has devastated many nations of the world has made it imperative that nations upgrade their credit scoring methods. Although statistical methods have been the preferred method for decades, ...