Tri-Partition Alphabet-Based State Prediction for Multivariate Time-Series

Tri-Partition Alphabet-Based State Prediction for Multivariate Time-Series

Recently, predicting multivariate time-series (MTS) has attracted much attention to obtain richer semantics with similar or better performances. In this paper, we propose a tri-partition alphabet-based state (tri-state) prediction method for symbolic MTSs. First, for each variable, the set of all sy...

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Bibliographic Details
Main Authors:	Zuo-Cheng Wen, Zhi-Heng Zhang, Xiang-Bing Zhou, Jian-Gang Gu, Shao-Peng Shen, Gong-Suo Chen, Wu Deng
Format:	Article
Language:	English
Published:	MDPI AG 2021-11-01
Series:	Applied Sciences
Subjects:	multivariate time-series k matrix nearest neighbor tri-partition alphabet state prediction
Online Access:	https://www.mdpi.com/2076-3417/11/23/11294

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