TY - GEN
T1 - Frequent pattern mining for price fluctuation based on cloud computing
AU - Chen, Ming
AU - Chiang, I. Jen
AU - Lai, Chao Wei
PY - 2012
Y1 - 2012
N2 - Frequent pattern mining is a hot topic in data mining field, and is now widely used in various areas. Cloud computing, a newly developed framework for parallel computing, offers great advantages over traditional parallel computing in big data processing. In this paper, we present a parallel frequent pattern mining for price fluctuation based on cloud computing. Firstly, original dataset is pre-processed and transformed to meet the requirement of frequent pattern mining model. Secondly, the mining task is described and multi-supports-based frequent pattern mining problem is defined. Finally, the experiment was carried out on a cluster of 12 computer nodes with map-reduce framework as a basis. The experimental results show that our approach can effectively find the frequent patterns in high efficiency, which can satisfy actual application.
AB - Frequent pattern mining is a hot topic in data mining field, and is now widely used in various areas. Cloud computing, a newly developed framework for parallel computing, offers great advantages over traditional parallel computing in big data processing. In this paper, we present a parallel frequent pattern mining for price fluctuation based on cloud computing. Firstly, original dataset is pre-processed and transformed to meet the requirement of frequent pattern mining model. Secondly, the mining task is described and multi-supports-based frequent pattern mining problem is defined. Finally, the experiment was carried out on a cluster of 12 computer nodes with map-reduce framework as a basis. The experimental results show that our approach can effectively find the frequent patterns in high efficiency, which can satisfy actual application.
UR - http://www.scopus.com/inward/record.url?scp=84875035441&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84875035441&partnerID=8YFLogxK
U2 - 10.1109/GrC.2012.6468561
DO - 10.1109/GrC.2012.6468561
M3 - Conference contribution
AN - SCOPUS:84875035441
SN - 9781467323093
T3 - Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012
SP - 50
EP - 54
BT - Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012
T2 - 2012 IEEE International Conference on Granular Computing, GrC 2012
Y2 - 11 August 2012 through 13 August 2012
ER -