Optimal hybrid classification model for event recommendation system.
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| Title: | Optimal hybrid classification model for event recommendation system. |
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| Authors: | BN, Nithya1, nithyabn039@gmail.com, Geetha, D. Evangelin1, Kumar, Manish1 |
| Source: | Web Intelligence (2405-6456); 2024, Vol. 22 Issue 2, p167-184, 18p |
| 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: 177067914 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimal hybrid classification model for event recommendation system. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22BN%2C+Nithya%22">BN, Nithya</searchLink><relatesTo>1</relatesTo>, <i>nithyabn039@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Geetha%2C+D%2E+Evangelin%22">Geetha, D. Evangelin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Kumar%2C+Manish%22">Kumar, Manish</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Web+Intelligence+%282405-6456%29%22">Web Intelligence (2405-6456)</searchLink>; 2024, Vol. 22 Issue 2, p167-184, 18p |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/WEB-220137 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 167 Titles: – TitleFull: Optimal hybrid classification model for event recommendation system. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: BN, Nithya – PersonEntity: Name: NameFull: Geetha, D. Evangelin – PersonEntity: Name: NameFull: Kumar, Manish IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 24056456 Numbering: – Type: volume Value: 22 – Type: issue Value: 2 Titles: – TitleFull: Web Intelligence (2405-6456) Type: main |
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