Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/15022

TitleCredit scoring data for information asset analysis
Author(s)Silva, Fábio
Analide, César
Novais, Paulo
KeywordsSoft computing
Issue date2011
PublisherSpringer
JournalAdvances in Intelligent and Soft Computing
Abstract(s)Risk assessment is an important topic for financial institution nowadays, especially in the context of loan applications. Some of these institutions have already implemented their own credit scoring mechanisms to evaluate their clients’ risk and decide based in this indicator. In fact, the information gathered by financial institutions constitutes a valuable source of data for the creation of information assets from which credit scoring mechanisms can be developed. The purpose of this paper is to, from information assets, create a decision mechanism that is able to evaluate a client’s risk. Furthermore, upon this decision mechanism, a suggestive algorithm is presented to better explain and give insights on how the decision mechanism values attributes.
TypeConference paper
URIhttp://hdl.handle.net/1822/15022
ISBN9783642196430
DOI10.1007/978-3-642-19644-7_24
ISSN1867-5662
Peer-Reviewedyes
AccessOpen access
Appears in Collections:DI/CCTC - Artigos (papers)

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