CL-MAX: a clustering-based approximation algorithm for mining maximal frequent itemsets (Englisch)
- Neue Suche nach: Fatemi, Seyed Mohsen
- Weitere Informationen zu Fatemi, Seyed Mohsen:
- https://orcid.org/http://orcid.org/0000-0002-8781-8723
- Neue Suche nach: Hosseini, Seyed Mohsen
- Neue Suche nach: Kamandi, Ali
- Neue Suche nach: Shabankhah, Mahmood
- Neue Suche nach: Fatemi, Seyed Mohsen
- Weitere Informationen zu Fatemi, Seyed Mohsen:
- https://orcid.org/http://orcid.org/0000-0002-8781-8723
- Neue Suche nach: Hosseini, Seyed Mohsen
- Neue Suche nach: Kamandi, Ali
- Neue Suche nach: Shabankhah, Mahmood
In:
International Journal of Machine Learning and Cybernetics
;
12
, 2
;
365-383
;
2021
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:CL-MAX: a clustering-based approximation algorithm for mining maximal frequent itemsets
-
Weitere Titelangaben:Int. J. Mach. Learn. & Cyber.
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Beteiligte:Fatemi, Seyed Mohsen ( Autor:in ) / Hosseini, Seyed Mohsen ( Autor:in ) / Kamandi, Ali ( Autor:in ) / Shabankhah, Mahmood ( Autor:in )
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Erschienen in:International Journal of Machine Learning and Cybernetics ; 12, 2 ; 365-383
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Verlag:
- Neue Suche nach: Springer Berlin Heidelberg
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Erscheinungsort:Berlin/Heidelberg
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Erscheinungsdatum:01.02.2021
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Format / Umfang:19 pages
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ISSN:
-
DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis – Band 12, Ausgabe 2
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