DocumentCode :
593146
Title :
An Efficient Algorithm for Updating Association Rules with Incremental Transactions and Minimum Support Changes Simultaneously
Author :
Li Sun ; Yuchen Cai ; Jiyun Li ; Juntao Lv
Author_Institution :
Sch. of Comput. Sci. & Technol, Donghua Univ., Shanghai, China
fYear :
2012
fDate :
6-8 Nov. 2012
Firstpage :
166
Lastpage :
171
Abstract :
This paper proposes a new algorithm FIM_AIUA, which updates association rules with incremental transactions and minimum support changes simultaneously. The algorithm expands FIM algorithm and AIUA algorithm, improves the efficiency and corrects the mistakes of My_IUA algorithm. Moreover, it modifies FIM algorithm with a new argument and presents a new function fim_aiua_gen() that rewrites the function aiua_gen() of AIUA algorithm. Experiments with real transaction data of a supermarket show that our proposed algorithm FIM_AIUA is efficient and outperforms both My_IUA algorithm and Apriori algorithm.
Keywords :
data mining; AIUA algorithm; FIM algorithm; FIM_AIUA; association rules; incremental transactions; minimum support; real transaction data; Algorithm design and analysis; Association rules; Equations; Face; Itemsets; Association Rules; Data Mining; Incremental Transaction; Minimum Support Change;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems (GCIS), 2012 Third Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-3072-5
Type :
conf
DOI :
10.1109/GCIS.2012.42
Filename :
6449509
Link To Document :
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