Title :
A new time-series trend forecasting technique
Author :
Yong, Wang ; Xin-zheng, Zhang ; Xiang-jun, Gao
Author_Institution :
Fac. of Autom., Guangdong Univ. of Technol., China
Abstract :
In this paper, a new time-series trend forecasting technique based on rules and pattern is presented. For the given time series data, the technique is first to convert the time-series data into a time subseries data set, and then to excavate the time subseries data set and extract the underlying rules and patterns from them. And the rules are used as a tool to predict the trend of the time series. The mining algorithm is given last.
Keywords :
forecasting theory; time series; mining algorithm; time subseries data set; time-series trend forecasting technique; Business; Data mining; Finance; Geology; Humans; Information science; Predictive models; Sequences; Space exploration; Technology forecasting;
Conference_Titel :
VLSI Design and Video Technology, 2005. Proceedings of 2005 IEEE International Workshop on
Print_ISBN :
0-7803-9005-9
DOI :
10.1109/IWVDVT.2005.1504635
