Hadoop-based ARIMA Algorithm and its Application in Weather Forecast
Leixiao Li, Zhiqiang Ma, Limin Liu, Yuhong Fan · International Journal of Database Theory and Application · 2013
This paper concentrates on the issue of weather data mining. We propose a ARIMA algorithm based on Hadoop framework, and implement an effective weather data analyzing and forecasting system. We present the procedure to parallelize the ARIMA algorithm in the Hadoop environment, and construct a scalable, easy-to maintain, and effective weather forecasting system. Several experiments are conducted and results show that the proposed system is highly effective in terms of data storage, management, as well as query.