DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김다윗 | ko |
dc.contributor.author | 민성환 | ko |
dc.contributor.author | 한인구 | ko |
dc.date.accessioned | 2008-12-26T05:01:36Z | - |
dc.date.available | 2008-12-26T05:01:36Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2007-06 | - |
dc.identifier.citation | JOURNAL OF INFORMATION TECHNOLOGY APPLICATIONS & MANAGEMENT, v.14, no.2, pp.151 - 168 | - |
dc.identifier.issn | 1598-6284 | - |
dc.identifier.uri | http://hdl.handle.net/10203/8176 | - |
dc.description.abstract | The corporate credit rating represents an assessment of the relative level of risk associated with the timely payments required by the debt obligation. In this study, the corporate credit rating model employs artificial intelligence methods including Neural Network (NN) and Case-Based Reasoning (CBR). At first we suggest three classification models, as partitioned neural networks, all of which convert multi-group classification problems into two group classification ones: Ordinal Pairwise Partitioning (OPP) model, binary classification model and simple classification model. The experimental results show that the partitioned NN outperformed the conventional NN. In addition, we put to use CBR that is widely used recently as a problem-solving and learning tool both in academic and business areas. With an advantage of the easiness in model design compared to a NN model, the CBR model proves itself to have good classification capability through the highest hit ratio in the corporate credit rating. | - |
dc.language | Korean | - |
dc.language.iso | ko | en |
dc.publisher | 한국데이타베이스학회 | - |
dc.title | 신경망 분리모형과 사례기반추론을 이용한기업 신용 평가 | - |
dc.title.alternative | Corporate Credit Rating using Partitioned Neural Network and Case-Based Reasoning | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.volume | 14 | - |
dc.citation.issue | 2 | - |
dc.citation.beginningpage | 151 | - |
dc.citation.endingpage | 168 | - |
dc.citation.publicationname | JOURNAL OF INFORMATION TECHNOLOGY APPLICATIONS & MANAGEMENT | - |
dc.contributor.localauthor | 한인구 | - |
dc.contributor.nonIdAuthor | 김다윗 | - |
dc.contributor.nonIdAuthor | 민성환 | - |
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