Optimizing Tree-Based Contrast Subspace Mining Using Genetic Algorithm.
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| Title: | Optimizing Tree-Based Contrast Subspace Mining Using Genetic Algorithm. |
|---|---|
| Authors: | Sia, Florence1, florence.sfs@ums.edu.my, Alfred, Rayner1 |
| Source: | International Journal of Computational Intelligence Systems; 8/10/2022, Vol. 15 Issue 1, p1-8, 8p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 158448434 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=158448434 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s44196-022-00126-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 1 Titles: – TitleFull: Optimizing Tree-Based Contrast Subspace Mining Using Genetic Algorithm. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sia, Florence – PersonEntity: Name: NameFull: Alfred, Rayner IsPartOfRelationships: – BibEntity: Dates: – D: 10 M: 08 Text: 8/10/2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 18756891 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Computational Intelligence Systems Type: main |
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