Data mining based on fluctuation feature in time series
Yongxuan Huang · Kongzhi yu juece · 2007
Similarity search is the foundation of data mining in time series,while constructing a robust dynamic time warping distance is the first step.Considering the importance of feature points of time series,a feature extraction method based on fluctuation is proposed,and a binary feature tree building algorithm is given.The method extracts the whole changing trend and meanwhile effectively reduces data dimensions.Clustering experiments on several datasets show that the new method is much faster and more accurate than other methods.