A Boundary Distance-Based Symbolic Aggregate Approximation Method for Time Series Data

A large amount of time series data is being generated every day in a wide range of sensor application domains. The symbolic aggregate approximation (SAX) is a well-known time series representation method, which has a lower bound to Euclidean distance and may discretize continuous time series. SAX ha...

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Bibliographic Details

Published in:	Algorithms
Main Authors:	Zhenwen He, Shirong Long, Xiaogang Ma, Hong Zhao
Format:	Article
Language:	English
Published:	MDPI AG 2020-11-01
Subjects:	time series SAX ESAX SAX-TD SAX-BD
Online Access:	https://www.mdpi.com/1999-4893/13/11/284