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High-utility sequential pattern mining in incremental database.

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Bibliographic Details
Title: High-utility sequential pattern mining in incremental database.
Authors: Yan, Huizhen1, Li, Fengyang1, Hsieh, Ming-Chia2, Wu, Jimmy Ming-Tai3, wmt@wmt35.idv.tw
Source: Journal of Supercomputing; Jan2025, Vol. 81 Issue 1, p1-34, 34p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 180645669
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PubType: Academic Journal
PubTypeId: academicJournal
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11227-024-06568-x
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      – Code: eng
        Text: English
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        PageCount: 34
        StartPage: 1
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      – TitleFull: High-utility sequential pattern mining in incremental database.
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            NameFull: Yan, Huizhen
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            NameFull: Li, Fengyang
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            NameFull: Hsieh, Ming-Chia
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            NameFull: Wu, Jimmy Ming-Tai
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            – D: 01
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              Text: Jan2025
              Type: published
              Y: 2025
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              Value: 81
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            – TitleFull: Journal of Supercomputing
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