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Erschienen in:
2015 | OriginalPaper | Buchkapitel
116. Toward the Association Rules of Meteorological Data Mining Based on Cloud Computing
verfasst von : Limin Liu, Jie Lv, Zhiqiang Ma, Jianxiong Wan, Ma Jingjing
Erschienen in: Proceedings of the Second International Conference on Mechatronics and Automatic Control
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Abstract
Data mining based on association rules (AR) can find out the potential relationship among the meteorological data to forecast the weather conditions; however, it is difficult for traditional AR algorithms to meet the requirement of massive meteorological data mining. To address this issue, we propose a frequent pattern (FP)-tree algorithm based on MapReduce to forecast weather in a cloud computing system. We conduct extensive experiment with real meteorological data to evaluate the performance of our algorithm.