Effective and Efficient Clustering Big Mobile Social Data for Supporting Advanced Analytics Tools
Conference Paper
Publication Date:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
social media geotagged post clustering
List of contributors:
Frigerio, Luca; Bordogna, Gloria
Book title:
Proceedings of the Italian Symposium on Advanced Database Systems