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
Link To Document :
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