A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases

Periodic frequent-pattern mining (PFPM) is a vital knowledge discovery technique that identifies periodically occurring patterns in a temporal database. Although traditional PFPM algorithms have many applications, they often produce a large set of periodic-frequent patterns (PFPs) in a database. As...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Netherlands), 2023-11, Vol.53 (22), p.27344-27373
Hauptverfasser:	Pamalla, Veena, Rage, Uday Kiran, Penugonda, Ravikumar, Palla, Likhitha, Hayamizu, Yuto, Goda, Kazuo, Toyoda, Masashi, Zettsu, Koji, Sourabh, Shrivastava
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Computer memory Computer Science Data mining Energy consumption Machines Manufacturing Mechanical Engineering Pattern analysis Processes Run time (computers) Search algorithms
Online-Zugang:	Volltext
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