The symbolic method for time series based on mean and slope

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	The symbolic method for time series based on mean and slope
	Wang, Y.; Su, Y.
	2015
会议日期	December 25, 2014 - December 26, 2014
会议地点	Hong Kong, China
关键词	Approximation algorithms Time series Mean Similarity-matching Slope Statistic feature Symbolic aggregate approximation (SAX) Symbolic algorithms Symbolic methods Symbolization
页码	255-260
英文摘要	Neither the algorithm of symbolic aggregate approximation (sax) nor the symbolic algorithm for time series data based on statistic feature (sfvs) will involve in the shape of the time series, so it cannot effectively represent the similarity of the time series. In this paper, a symbolic method for time series based on mean and slope is introduced to represent the similarity of the time series. It firstly, segments the time series based on key points, then symbolizes the mean and slope separately, records every symbol’s occurrence times and position, finally uses every symbol’s occurrence times and position as the metrics standard. The experiments show that this method can be used effectively for time series similarity matching, and also improve the correct rate. © 2015 Taylor & Francis Group, London.
会议录	Network Security and Communication Engineering - Proceedings of the 2014 International Conference on Network Security and Communication Engineering, NSCE 2014
会议录出版者	CRC Press/Balkema
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117362]
专题	兰州理工大学
作者单位	College of Computer and Communication, Lanzhou University of Technology, Lanzhou, China
推荐引用方式 GB/T 7714	Wang, Y.,Su, Y.. The symbolic method for time series based on mean and slope[C]. 见:. Hong Kong, China. December 25, 2014 - December 26, 2014.