Fig. 1From: A graph-based big data optimization approach using hidden Markov model and constraint satisfaction problemGraphical representation of a hidden Markov model. A hidden Markov model consists mainly of hidden states (vertices \(s_{i}\)), transition probabilities (arcs \(a_{ij}\)), observations (\(o_{t}\)) and emission probabilitiesBack to article page