DocumentCode :
3699963
Title :
Mapreduce-Apriori algorithm under cloud computing environment
Author :
Xue-Zhou Chang
Author_Institution :
Department of Information Engineering, Shijiazhuang Institute of Railway Technology, Shijiazhuang 050000, China
Volume :
2
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
637
Lastpage :
641
Abstract :
Apriori is a classical data mining algorithm. The traditional Apriori algorithm can be optimized to apply to MapReduce model. The MapReduce programming model with the optimized Apriori is built to realize the parallel computing under cloud computing environment. Experimental results show that improved parallel MR-Apriori algorithm greatly shortens the time consumed, and with its strong scalability, it can be better applied to large-scale data analysis, processing and mining. Moreover, the rate of the algorithm is linearly increased with the increase of the node numbers in the mining frequent item sets.
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICMLC.2015.7340629
Filename :
7340629
Link To Document :
بازگشت