DocumentCode :
2563591
Title :
Realization of a New Association Rule Mining Algorithm
Author :
Gao, Jun
fYear :
2007
fDate :
15-19 Dec. 2007
Firstpage :
201
Lastpage :
204
Abstract :
Based on fully analyzing the PF_growth, an association rule mining algorithm, this paper presents a new association rule mining algorithm called MFP. The MFP algorithm can convert a transaction database into an MFP_tree through scanning the database only once, and then do the mining of the tree. Because the MFP algorithm scans a transaction database one time less than the FP_growth algorithm, the MFP algorithm is more efficient.
Keywords :
Algorithm design and analysis; Association rules; Computational intelligence; Costs; Data mining; Data security; Transaction databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security, 2007 International Conference on
Conference_Location :
Harbin, China
Print_ISBN :
0-7695-3072-9
Electronic_ISBN :
978-0-7695-3072-7
Type :
conf
DOI :
10.1109/CIS.2007.177
Filename :
4415331
Link To Document :
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