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.
|主出版物標題||Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012|
|出版狀態||已發佈 - 2012|
|事件||2012 IEEE International Conference on Granular Computing, GrC 2012 - HangZhou, 中国|
持續時間: 八月 11 2012 → 八月 13 2012
|其他||2012 IEEE International Conference on Granular Computing, GrC 2012|
|期間||8/11/12 → 8/13/12|
ASJC Scopus subject areas