Title: Information asset analysis: credit scoring and credit suggestion
Authors: Fabio Silva; Cesar Analide
Department of Informatics, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal.
Department of Informatics, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal
Abstract: Risk assessment is important for financial institutions, especially in loan applications. Some have already implemented their own credit-scoring mechanisms to evaluate their clients' risk and make decisions based on this indicator. In fact, the data gathered by financial institutions is a valuable source of information to create information assets, from which credit-scoring mechanisms can be developed. The purpose of this paper is to create, from information assets, a decision mechanism that is able to evaluate a client's risk. Furthermore, a suggestive algorithm is presented to better explain and give insights on how the decision mechanism values attributes.
Keywords: credit scoring; artificial intelligence; knowledge extraction; data mining; intelligent agents; multi-agent systems; MAS; agent-based systems; credit suggestion; information assets; financial risk assessment; loan applications; loans.
Int. J. of Electronic Business, 2011 Vol.9, No.3, pp.203 - 218
Available online: 16 Sep 2011