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
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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. |
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