Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/16189

TitleMulti-agent system for credit scoring
Author(s)Silva, Fábio
Analide, César
KeywordsCredit scoring
Client Evaluation
Machine Learning
Intelligent Agents
Issue dateOct-2011
Abstract(s)The use of multi-agent systems to solve complex problems in today’s world is not a new approach. Nevertheless, there has been a growing interest in using its properties in conjunction with machine learning and data mining techniques in order to build smarter systems. A multi-agent system able to classify and recommend attribute values in an instance of a dataset is presented and intended to provide to the end user a better understanding of both the classification in the dataset and client possibilities to obtain a good classification. The multi-agent system presented will have the ability to classify a user credit application and suggest different values for its attributes under assessment.
TypeConference paper
URIhttps://hdl.handle.net/1822/16189
ISBN978-989-95618-4-7
Peer-Reviewedyes
AccessOpen access
Appears in Collections:DI/CCTC - Livros e Capítulos de livros

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