Faculty of Information Technology, Ho Chi Minh City University of Technology, Ho Chi Minh, Viet Nam;Faculty of Information Technology, Saigon University, Ho Chi Minh, Viet Nam; Faculty of InformationTechnology, University of Science, Ho Chi Minh, Viet Nam Abstract: The utility based on itemsets mining approach has been discussed widely in recent years. There aremany algorithms mining high utility itemsets (HUIs) by pruning candidates based on the estimated utilityvalues, and based on the transactionweighted utilization values. These algorithms aim to reduce searchspace. In this paper, we propose a method for HUIs from vertical distributed databases. This method doesnot integrate local databases in SlaverSites to MasterSite, and scan local database one time. Experimentsshow the run-time of this method is more efficient than that in the concentration database. © 2009 IEEE. Author Keywords: Concentration database; Utility constraint; Utility itemset; Vertical distributed databases;WIT-tree Index Keywords: Concentration database; Utility constraint; Utility itemset; Vertical distributed databases;WIT-tree; Computer science; Database systems Year: 2009 Source title: 2009 IEEE-RIVF International Conference on Computing and Communication Technologies:Research, Innovation and Vision for the Future, RIVF 2009 Art. No.: 5174650 Link: Scorpus Link Correspondence Address: Vo, B.; Faculty of Information Technology, Ho Chi Minh City University ofTechnology, Ho Chi Minh, Viet Nam; email: vdbay@hcmhutech.edu.vn Conference name: 2009 IEEE-RIVF International Conference on Computing and CommunicationTechnologies: Research, Innovation and Vision for the Future, RIVF 2009 Conference date: 13 July 2009 through 17 July 2009 Conference location: Danang City Conference code: 78379 ISBN: 9.78142E+12 DOI: 10.1109/RIVF.2009.5174650 Language of Original Document: English Abbreviated Source Title: 2009 IEEE-RIVF International Conference on Computing and CommunicationTechnologies: Research, Innovation and Vision for the Future, RIVF 2009 Document Type: Conference Paper Source: Scopus Authors with affiliations:
['Bay Vo', 'Huy Nguyen', 'Bac Le']
Mining High Utility Itemsets from Vertical Distributed Databases