Application of Diagnostic Test Methods To The Classification Of Time Series With Discrete Values

Abstract

Discrete-value time series are sequences of measurements where each measurement is a discrete (categorical or integer) value. These time series are widely used in various fields, and their classification and clustering are essential for data analysis. This article presents the possibility of applying diagnostic test methods to such time series and estimates the probability of finding ``matching tests''.