Effective and Efficient Clustering Big Mobile Social Data for Supporting Advanced Analytics Tools
Contributo in Atti di convegno
Data di Pubblicazione:
2017
Abstract:
The paper describes a clustering approach using distinct similarity measures applied to group trajectories derived by tracking users of mobile social data exploiting the geotags of their posts.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
social media geotagged post clustering
Elenco autori:
Frigerio, Luca; Bordogna, Gloria
Link alla scheda completa:
Titolo del libro:
Proceedings of the Italian Symposium on Advanced Database Systems