Approach to Analyze Time Series Similarity Pattern Mining Based on Haar
Time series data mining is a rather complex branch, which is a technique that extracts the most valuable information from large amount of history time series data. Haar wavelet technology will be used in time series similarity-pattern mining. This dissertation discusses the problem on time series similarity-pattern mining from similarity measurement, storage structure, searching integrality. Finally simulation results show that the Haar wavelet technology used in time-series similar pattern mining in a good performance.
Time Series Haar Wavelets Similarity Pattern Mining
LiYi LiuHong
International Institute Qingdao University Qingdao,china International Institute Qingdao University Qinedao.china
国际会议
重庆
英文
323-327
2011-01-21（万方平台首次上网日期，不代表论文的发表时间）