Title :
The Analysis on Apriori Algorithm Based on Interest Measure
Author_Institution :
Inf. Coll., Linyi Univ., Linyi, China
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;
Conference_Titel :
Control Engineering and Communication Technology (ICCECT), 2012 International Conference on
Conference_Location :
Liaoning
Print_ISBN :
978-1-4673-4499-9
DOI :
10.1109/ICCECT.2012.185