Time series decomposition and predictive analytics using MapReduce framework

作者：

Highlights：

• Use of MapReduce based huge data decomposition approach.

• Modeling on big data platform using MapReduce approach.

• ACF and PACF analysis for different weather stations data.

• Predictive approaches M-ARIMA, M-KNN and M-HM for forecasting.

• Performance measures and utilization of the predicted results.

摘要

•Use of MapReduce based huge data decomposition approach.•Modeling on big data platform using MapReduce approach.•ACF and PACF analysis for different weather stations data.•Predictive approaches M-ARIMA, M-KNN and M-HM for forecasting.•Performance measures and utilization of the predicted results.

论文关键词：Big data,Time series analysis,Neural network,Predictive weather analysis and forecasting,MapReduce

论文评审过程：Received 13 December 2017, Revised 7 September 2018, Accepted 8 September 2018, Available online 8 September 2018, Version of Record 15 September 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.09.017