Poster: On the Quest for Representative Mobile Datasets

Mobile datasets are often incomplete or have heterogeneous spatiotemporal resolutions, e.g., a dataset is often aggregated or in lack of fields. We create a reliable dataset describing mobile data traffic in individual's spatiotemporal view. We focus on individuals having enough geographical information and merge their call records from one dataset with the data traffic records extracted from another dataset. The resulting dataset contains data session records associated with time and location fields.