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Please use this identifier to cite or link to this item: http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/12369

Title: Mining high utility itemsets from vertical distributed databases
Authors: Vo B.
Nguyen H.
Le B.
Keywords: Concentration database
Utility constraint
Utility itemset
Vertical distributed databases
WIT-tree
Issue Date: 2009
Publisher: 2009 IEEE-RIVF International Conference on Computing and Communication Technologies: Research, Innovation and Vision for the Future, RIVF 2009
Citation: Volume , Issue , Page -
Abstract: The utility based on itemsets mining approach has been discussed widely in recent years. There are many algorithms mining high utility itemsets (HUIs) by pruning candidates based on the estimated utility values, and based on the transactionweighted utilization values. These algorithms aim to reduce search space. In this paper, we propose a method for HUIs from vertical distributed databases. This method does not integrate local databases in SlaverSites to MasterSite, and scan local database one time. Experiments show the run-time of this method is more efficient than that in the concentration database. © 2009 IEEE.
URI: http://tainguyenso.vnu.edu.vn/jspui/handle/123456789/12369
ISSN: 
Appears in Collections:Articles of Universities of Vietnam from Scopus

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