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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Vydané v:	Technical review - IETE Ročník 26; číslo 1; s. 55 - 66
Hlavní autori:	Tanbeer, Syed Khairuzzaman, Ahmed, Chowdhury Farhan, Jeong, Byeong-Soo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New Delhi Taylor & Francis 01.01.2009 Taylor & Francis Ltd
Predmet:	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
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