The symbolic method for time series based on mean and slope

	The symbolic method for time series based on mean and slope
	Wang, Y.; Su, Y.
	2015
会议名称	International Conference on Network Security and Communication Engineering, NSCE 2014
会议录名称	Network Security and Communication Engineering - Proceedings of the 2014 International Conference on Network Security and Communication Engineering, NSCE 2014
页码	255-260
会议日期	December 25, 2014 - December 26, 2014
会议地点	Hong Kong, China
出版者	CRC Press/Balkema
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.
关键词	Approximation algorithms Time series Mean Similarity-matching Slope Statistic feature Symbolic aggregate approximation (SAX) Symbolic algorithms Symbolic methods Symbolization
收录类别	EI
语种	英语
EI入藏号	20161302170185
EI主题词	Network security
来源库	Compendex
分类代码	723 Computer Software, Data Handling and Applications - 921 Mathematics - 922.2 Mathematical Statistics
文献类型	会议论文
条目标识符	https://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
第一作者单位	兰州理工大学
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]:CRC Press/Balkema,2015:255-260.