DocumentCode
2924209
Title
Incremental mining frequent itemsets based on the trie structure and the pre-large itemsets
Author
Le, Thien-Phuong ; Hong, Tzung-Pei ; Vo, Bay ; Le, Bac
Author_Institution
Fac. of Technol., Pacific Ocean Univ., Nha Trang, Vietnam
fYear
2011
fDate
8-10 Nov. 2011
Firstpage
369
Lastpage
373
Abstract
Incremental data mining has been discussed widely in recent years since it has many real applications. In this paper, we propose a Pre-FUT algorithm (Fast-Update algorithm using Trie data structure and the concept of pre-large itemsets), which does not only build and update the trie structure when new transactions are inserted, but also mine all frequent itemsets easily from the tree. Experimental results show the good performance of the proposed algorithm.
Keywords
data mining; tree data structures; trees (mathematics); Pre-FUT algorithm; fast-update algorithm; incremental data mining; incremental frequent itemset mining; prelarge itemset; trie data structure; Algorithm design and analysis; Association rules; Data structures; Itemsets; Maintenance engineering; data mining; incremental mining; pre-large itemset; trie structure;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing (GrC), 2011 IEEE International Conference on
Conference_Location
Kaohsiung
Print_ISBN
978-1-4577-0372-0
Type
conf
DOI
10.1109/GRC.2011.6122624
Filename
6122624
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