期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2016
卷号：5
期号：1
页码：0064-0068
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Data mining faces a lot of challenges in the big data era. Association rule mining algorithm is not suffici ent to process large data sets. Apriori algorithm has limitations like the high I/O load and low performance. The FP-Growth algorithm also has certain limitations like less internal memory. Mining the frequent itemset in the dynamic scenarios is a challenging task. A parallelized approach using the mapreduce framework is also used to process large data sets. The various techniques for mining the frequent itemsets have been discussed.
关键词：Apriori algorithm; Big data; Data mining; ; Frequent itemset mining
