A new time-series trend forecasting technique

被引：0
|
作者：
Wang, Y [1 ]
Zhang, XZ [1 ]
Gao, XJ [1 ]
机构：
[1] Guangdong Univ Technol, Fac Automat, Guangzhou 510090, Peoples R China
来源：
PROCEEDINGS OF 2005 IEEE INTERNATIONAL WORKSHOP ON VLSI DESIGN AND VIDEO TECHNOLOGY | 2005年
关键词：
time series; data mining; trend forecasting; rules;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
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页码：403 / 407
页数：5
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