Key Segment Identification Based on an Improved FP-Growth Algorithm and Segment-Related Network.
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| Title: | Key Segment Identification Based on an Improved FP-Growth Algorithm and Segment-Related Network. |
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| Authors: | Tang, Huiqi1, Wen, Xiangxi1,2, wxxajy@163.com, Zhang, Mingyu1, Wang, Zekun2 |
| Source: | Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 19, p10732, 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: 188679115 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=188679115 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app151910732 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 10732 Titles: – TitleFull: Key Segment Identification Based on an Improved FP-Growth Algorithm and Segment-Related Network. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tang, Huiqi – PersonEntity: Name: NameFull: Wen, Xiangxi – PersonEntity: Name: NameFull: Zhang, Mingyu – PersonEntity: Name: NameFull: Wang, Zekun IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 15 – Type: issue Value: 19 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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