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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/6669

Title: FP-bonsai: the art of growing and pruning small FP-trees
Other Titles: 8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26-28, 2004. Proceedings
Authors: Bonchi, F.
Issue Date: 2004
Publisher: Berlin Springer
Citation: Advances in Knowledge Discovery and Data Mining. p. 155-160
Series/Report: Lecture Notes in Computer Science, 3056
Abstract: In the context of mining frequent itemsets, numerous strategies have been proposed to push several types of constraints within the most well known algorithms. In this paper, we integrate the recently proposed ExAnte data reduction technique within the FP-growth algorithm. Together, they result in a very efficient frequent itemset mining algorithm that effectively exploits monotone constraints.
URI: http://hdl.handle.net/1942/6669
DOI: 10.1007/b97861
ISI #: 000221955100017
ISBN: 978-3-540-22064-0
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

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