Frequent pattern mining for price fluctuation based on cloud computing

Ming Chen, I. Jen Chiang, Chao Wei Lai

研究成果: 書貢獻/報告類型會議貢獻

摘要

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.

原文英語
主出版物標題Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012
頁面50-54
頁數5
DOIs
出版狀態已發佈 - 2012
對外發佈Yes
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

其他2012 IEEE International Conference on Granular Computing, GrC 2012
國家中国
城市HangZhou
期間8/11/128/13/12

ASJC Scopus subject areas

  • Software

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