A granularity time series forecasting model combining three-way decision and trend information granularity
Jianuan Qiu,
Shuhua Su,
Jingjing Qian
Abstract:In recent decades, significant advancements have been made in the field of time series data mining, leading to its widespread application in various domains. However, the existence of data correlation in time series data sets brings challenges to long-term prediction. One approach to address this issue is to transform the original time series into granular time series (GTS). Therefore, a prediction model based on GTS is proposed to meet this challenge in this study. Firstly, the improved L1-trend filtering is … Show more
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