Early Classification of Time Series is Meaningful

04/27/2021
by   Youssef Achenchabe, et al.
9

Many approaches have been proposed for early classification of time series in light of its significance in a wide range of applications including healthcare, transportation and finance. However, recently a preprint saved on Arxiv claim that all research done for almost 20 years now on the Early Classification of Time Series is useless, or, at the very least, ill-oriented because severely lacking a strong ground. In this paper, we answer in detail the main issues and misunderstandings raised by the authors of the preprint, and propose directions to further expand the fields of application of early classification of time series.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/06/2020

Approaches and Applications of Early Classification of Time Series: A Review

Early classification of time series has been extensively studied for min...
research
09/21/2021

Early and Revocable Time Series Classification

Many approaches have been proposed for early classification of time seri...
research
01/30/2019

End-to-end Learning for Early Classification of Time Series

Classification of time series is a topical issue in machine learning. Wh...
research
02/23/2021

When is Early Classification of Time Series Meaningful?

Since its introduction two decades ago, there has been increasing intere...
research
03/03/2022

Early Time-Series Classification Algorithms: An Empirical Comparison

Early Time-Series Classification (ETSC) is the task of predicting the cl...
research
12/14/2013

Classifiers With a Reject Option for Early Time-Series Classification

Early classification of time-series data in a dynamic environment is a c...
research
08/27/2019

Early Classification for Agricultural Monitoring from Satellite Time Series

In this work, we introduce a recently developed early classification mec...

Please sign up or login with your details

Forgot password? Click here to reset