6 datasets found

Location prediction forecasts a user’s location based on historical user mobility traces. To tackle the intrinsic sparsity issue of real-world user mobility traces,...

The dataset used in this study is a collection of Twitter data, containing all relevant tweets published for each stock.

The DMCL dataset contains GPS data of real trajectories analysis work.

The proposed model is tested using longitudinal tracking datasets from two tracking studies performed in Switzerland. The study involves 498 participants based in and around the...

The proposed model is tested using longitudinal tracking datasets from two tracking studies performed in Switzerland. The study contains 139 participants based in Switzerland...

Deep-move: Predicting human mobility with attentional recurrent networks.