Determining context of association rules by using machine learning.
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| Title: | Determining context of association rules by using machine learning. |
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| Authors: | Nisar, Kanwal1, Shaheen, Muhammad1, shaheentanoli@gmail.com |
| Source: | Journal of Experimental & Theoretical Artificial Intelligence; Jan2023, Vol. 35 Issue 1, p59-76, 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: 160870856 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=160870856 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/0952813X.2021.1955980 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 59 Titles: – TitleFull: Determining context of association rules by using machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Nisar, Kanwal – PersonEntity: Name: NameFull: Shaheen, Muhammad IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 0952813X Numbering: – Type: volume Value: 35 – Type: issue Value: 1 Titles: – TitleFull: Journal of Experimental & Theoretical Artificial Intelligence Type: main |
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