Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/16189
Título: | Multi-agent system for credit scoring |
Autor(es): | Silva, Fábio Analide, César |
Palavras-chave: | Credit scoring Client Evaluation Machine Learning Intelligent Agents |
Data: | Out-2011 |
Resumo(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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/16189 |
ISBN: | 978-989-95618-4-7 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | DI/CCTC - Livros e Capítulos de livros |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
MAS4CS.pdf | Documento principal | 179,81 kB | Adobe PDF | Ver/Abrir |