Multi-attribute sequence interpretation using HMM
Radek Mařík, Matej Cibula · 2017
Pattern and anomaly detection in time series or sequences is an active field of research. Most of the work in the field is dedicated to multivariate sequences of real numbers or they only focus on pattern recognition in simple sequences. This work introduces hidden Markov models and applies new methods which are suitable for the processing of binary or categorical multivariate sequences in which individual elements are considered to be expressions of the same system. Subsequently, proposed methods are applied in the analysis of the dataset of viziers and their titles from the fourth to the sixth dynasties of ancient Egypt.