The Data Mining Technique of Time-series Trending Structure Series
作者
Xiangjun Gao,Qiliang Du,Lianfang Tian,Zongyuan Mao,Yong Wang
标识
DOI:10.1109/wcica.2006.1714235
摘要
According to the inner characters of the time series, the conception of time-series trending structure series and the latest time sub-series was defined, and the time-series trending structure mining technique was presented. The technique first converted the time series waiting for mining into its trending structure series, then used the information underlying in the latest trending structure sub-series of the latest time sub-series as a guide to excavate the original time series. The model of RBF neural network was also presented to predict the trend of time series with real world data set. Experimental results reveal that the time-series trending structure mining technique is significant