Comparison of the impact of dimensionality reduction and data splitting on classification performance in credit risk assessment.
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| Title: | Comparison of the impact of dimensionality reduction and data splitting on classification performance in credit risk assessment. |
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| Authors: | Bulut, Cem1, cem.bulut@ogr.iuc.edu.tr, Arslan, Emel1 |
| Source: | Artificial Intelligence Review; Sep2024, Vol. 57 Issue 9, p1-23, 23p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 179077419 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Comparison of the impact of dimensionality reduction and data splitting on classification performance in credit risk assessment. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Bulut%2C+Cem%22">Bulut, Cem</searchLink><relatesTo>1</relatesTo>, <i>cem.bulut@ogr.iuc.edu.tr</i><br /><searchLink fieldCode="AU" term="%22Arslan%2C+Emel%22">Arslan, Emel</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+Review%22">Artificial Intelligence Review</searchLink>; Sep2024, Vol. 57 Issue 9, p1-23, 23p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=179077419 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-024-10904-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 1 Titles: – TitleFull: Comparison of the impact of dimensionality reduction and data splitting on classification performance in credit risk assessment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bulut, Cem – PersonEntity: Name: NameFull: Arslan, Emel IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 57 – Type: issue Value: 9 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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