Abstract
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.
Original language | English |
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Title of host publication | Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012 |
Pages | 50-54 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 2012 |
Externally published | Yes |
Event | 2012 IEEE International Conference on Granular Computing, GrC 2012 - HangZhou, China Duration: Aug 11 2012 → Aug 13 2012 |
Other
Other | 2012 IEEE International Conference on Granular Computing, GrC 2012 |
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Country/Territory | China |
City | HangZhou |
Period | 8/11/12 → 8/13/12 |
ASJC Scopus subject areas
- Software