DocumentCode
2917412
Title
An Incremental Updating Algorithm for Online Mining Association Rules
Author
Yubo, Jia ; Yuntao, Duan ; Yongli, Wang
Author_Institution
Inst. of Inf. & Electron, Zhejiang Sci-Tech Univ., Hangzhou, China
fYear
2009
fDate
7-8 Nov. 2009
Firstpage
144
Lastpage
148
Abstract
Aimed at the limitation of the current FUP algorithm, which readily led to the low efficiency of frequent itemset of the updated database, a novel association rules mining algorithm named QAIS which is different from the classical dual phrase was proposed. On the basis of QAIS, an improved association rules mining algorithm named AIU was put forward further. AIU can efficiently maintain association rules when the transaction database was updated. At the same time, the minimum support and confidence were not changed. Experiments showed the proposed algorithm was appropriate to online association rules mining.
Keywords
data analysis; data mining; QAIS algorithm; incremental updating algorithm; online association rule mining; transaction database; Algorithm design and analysis; Association rules; Computer science; Data mining; Electrons; Information systems; Itemsets; Iterative algorithms; Maintenance engineering; Transaction databases; association rules; data mining; incremental updating; online mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Information Systems and Mining, 2009. WISM 2009. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3817-4
Type
conf
DOI
10.1109/WISM.2009.37
Filename
5369434
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