DocumentCode
2546834
Title
A dynamic improved apriori algorithm and its experiments in web log mining
Author
Luan, RuPeng ; Sun, SuFen ; Zhang, JunFeng ; Yu, Feng ; Zhang, Qian
Author_Institution
Inst. of Agric. Scientech Inf., Beijing Acad. of Agric. & Forestry Sci., Beijing, China
fYear
2012
fDate
29-31 May 2012
Firstpage
1261
Lastpage
1264
Abstract
Apriori algorithm is an influential data mining algorithm which can mining the frequent sets of Boolean association rules. But its efficiency is not high and cannot do dynamic mining, for these reasons a new association rules algorithm which is suitable for dynamic database mining was proposed. Furthermore, the new algorithm is applied to the web log mining. Compared with original algorithm, experiments show that the performance of the new algorithm is improved to some extent.
Keywords
Web sites; data mining; Boolean association rule; Web log mining; data mining algorithm; dynamic database mining; dynamic improved apriori algorithm; Algorithm design and analysis; Association rules; Heuristic algorithms; Itemsets; Software algorithms; Apriori algorithm; correlation analysis; web log mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location
Sichuan
Print_ISBN
978-1-4673-0025-4
Type
conf
DOI
10.1109/FSKD.2012.6234032
Filename
6234032
Link To Document