Application of sequential pattern mining to the analysis of visitor trajectories
Résumé
In this work, we demonstrate the proof of concept of clustering 254 visitors based on their trajectories in a museum. We used a real dataset from Haifa Museum, where each trajectory is treated as a sequence of itemsets. We applied simACS as a similarity measure between any two sequences.
Domaines
Informatique [cs]| Origine | Fichiers produits par l'(les) auteur(s) |
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