Abstract : 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.
Type de document :
Poster
33ème conférence sur la Gestion de Données — Principes, Technologies et Applications, Nov 2017, Nancy, France
https://hal.inria.fr/hal-01667442
Contributeur : Nyoman Juniarta
<>
Soumis le : mardi 19 décembre 2017 - 13:33:24
Dernière modification le : jeudi 11 janvier 2018 - 06:25:24
Nyoman Juniarta, Amedeo Napoli. Application of sequential pattern mining to the analysis of visitor trajectories. 33ème conférence sur la Gestion de Données — Principes, Technologies et Applications, Nov 2017, Nancy, France. 〈hal-01667442〉
