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Multi-criteria selection of data clustering methods for e-commerce personalization.

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Title: Multi-criteria selection of data clustering methods for e-commerce personalization.
Authors: Pawełek-Lubera, Elżbieta1, Przyborowski, Mateusz2, Ślęzak, Dominik2,3, Wasilewski, Adam1,4, adam.wasilewski@pwr.edu.pl
Source: Applied Soft Computing; Oct2025, Vol. 182, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 187941783
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187941783
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.asoc.2025.113559
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      – Code: eng
        Text: English
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      – TitleFull: Multi-criteria selection of data clustering methods for e-commerce personalization.
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            NameFull: Pawełek-Lubera, Elżbieta
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            NameFull: Przyborowski, Mateusz
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            NameFull: Ślęzak, Dominik
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              Text: Oct2025
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              Y: 2025
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              Value: 182
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