A universal event-group based time series data mining framework for multi-variate time series classification

Chao Sun · 2016

Summary

This thesis develops a novel universal TSDM methodology, named the Event Group Based Classifier (EGBC) framework, for multi-variate time series classification, of which each layer works independently and focuses on solving different problems within the T SDM domain.

Published: 2016-01-01
Cited by: 0
References: 152
Semantic Scholar: https://api.semanticscholar.org/CorpusID:62928188

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