A Parallel Apriori Algorithm for Frequent Itemsets Mining

• Published in: Fourth International Conference on Software Engineering Research, Management, and Applications : SERA 2006 : proceedings : 9-11 August, 2006 : Seattle, Washington pp. 87 - 94
• Main Authors: Yanbin Ye, Chia-Chu Chiang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2006
• Subjects: Application software; Apriori; Association rules; Computer science; Concurrent computing; Data mining; Data structures; Drives; Frequent Itemsets Mining (FIM); Itemsets; Parallel Computing; Parallel processing; Transaction databases
• ISBN: 076952656X; 9780769526560
• DOI: 10.1109/SERA.2006.6

Finding frequent itemsets is one of the most investigated fields of data mining. The Apriori algorithm is the most established algorithm for frequent itemsets mining (FIM). Several implementations of the Apriori algorithm have been reported and evaluated. One of the implementations optimizing the da...