DocumentCode
2986241
Title
The Analysis on Apriori Algorithm Based on Interest Measure
Author
Jingyao Hu
Author_Institution
Inf. Coll., Linyi Univ., Linyi, China
fYear
2012
fDate
7-9 Dec. 2012
Firstpage
1010
Lastpage
1012
Abstract
This paper proposes an improved algorithm to overtime the abuses that the Apriori algorithm has. The algorithm improves the readability of the strong association rules by increasing interest items and constructing the model of the interest. The experimental results show that the algorithm can effectively increase the operation speed, reduce the set of candidates, enhance the efficiency of the algorithm.
Keywords
data mining; Apriori algorithm; data mining; interest measure; strong association rules; Algorithm design and analysis; Association rules; Dairy products; Educational institutions; Itemsets; Aprior algorithm; Data Minin; Interest measur;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Engineering and Communication Technology (ICCECT), 2012 International Conference on
Conference_Location
Liaoning
Print_ISBN
978-1-4673-4499-9
Type
conf
DOI
10.1109/ICCECT.2012.185
Filename
6413944
Link To Document