Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/16189
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Silva, Fábio | - |
dc.contributor.author | Analide, César | - |
dc.date.accessioned | 2012-01-04T16:52:59Z | - |
dc.date.available | 2012-01-04T16:52:59Z | - |
dc.date.issued | 2011-10 | - |
dc.identifier.isbn | 978-989-95618-4-7 | - |
dc.identifier.uri | https://hdl.handle.net/1822/16189 | - |
dc.description.abstract | 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. | por |
dc.language.iso | eng | por |
dc.rights | openAccess | por |
dc.subject | Credit scoring | por |
dc.subject | Client Evaluation | por |
dc.subject | Machine Learning | por |
dc.subject | Intelligent Agents | por |
dc.title | Multi-agent system for credit scoring | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 595 | por |
oaire.citationEndPage | 608 | por |
oaire.citationConferencePlace | Lisboa, Portugal | por |
sdum.conferencePublication | Proceedings of the 15th Portuguese Conference on Artificial Intelligence (EPIA 2011) | - |
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 |