Natural Exponent Inertia Weight-based Particle Swarm Optimization for Mining Serial Episode Rules from Event Sequences.
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| Title: | Natural Exponent Inertia Weight-based Particle Swarm Optimization for Mining Serial Episode Rules from Event Sequences. |
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| Authors: | Poongodi, K.1, poongodikk@gmail.com, Kumar, Dhananjay1, dhananjay@annauniv.edu |
| Source: | IETE Journal of Research; Aug2023, Vol. 69 Issue 8, p5425-5439, 15p |
| 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: 171995777 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Natural Exponent Inertia Weight-based Particle Swarm Optimization for Mining Serial Episode Rules from Event Sequences. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Poongodi%2C+K%2E%22">Poongodi, K.</searchLink><relatesTo>1</relatesTo>, <i>poongodikk@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Kumar%2C+Dhananjay%22">Kumar, Dhananjay</searchLink><relatesTo>1</relatesTo>, <i>dhananjay@annauniv.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IETE+Journal+of+Research%22">IETE Journal of Research</searchLink>; Aug2023, Vol. 69 Issue 8, p5425-5439, 15p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=171995777 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/03772063.2021.2021815 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 5425 Titles: – TitleFull: Natural Exponent Inertia Weight-based Particle Swarm Optimization for Mining Serial Episode Rules from Event Sequences. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Poongodi, K. – PersonEntity: Name: NameFull: Kumar, Dhananjay IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 03772063 Numbering: – Type: volume Value: 69 – Type: issue Value: 8 Titles: – TitleFull: IETE Journal of Research Type: main |
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