Parallel and Distributed Algorithms for Frequent Pattern Mining in Large Databases

Mining frequent patterns (FP) from large-scale databases has emerged as an important problem in the data mining and knowledge discovery research community. A significant number of parallel and distributed FP mining algorithms have been proposed, when the database is large and/or distributed. Among t...

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Veröffentlicht in:	Technical review - IETE Jg. 26; H. 1; S. 55 - 66
Hauptverfasser:	Tanbeer, Syed Khairuzzaman, Ahmed, Chowdhury Farhan, Jeong, Byeong-Soo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New Delhi Taylor & Francis 01.01.2009 Taylor & Francis Ltd
Schlagworte:	Algorithms Computer engineering Data mining Frequent patterns Knowledge discovery Large-scale databases Parallel and distributed processing Studies Tree restructuring Trees
ISSN:	0256-4602, 0974-5971
Online-Zugang:	Volltext
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