Event Detection on Call Detail Records
Katalin Hajdú-Szücs, Attila Kiss · 2018
The previously unseen amount of data from mobile phones creates new possibilities to model human behaviour.Several data mining methods have been applied and tested on these datasets, providing interesting results.The goal of the paper is to present an overview of the applicability of anomaly detection in mobile phone data analysis.After describing the wide range of possibilities for anomaly detection in this context and presenting the state of the art, we detail the most important methods.Finally, we present our own findings in this field on CDR data covering one-month of traffic of a Hungarian mobile communication service provider.