A Location-Based User Movement Prediction Approach For Geolife Project

Recently obtaining knowledge from raw trajectory data has been an interest of many researches. Trajectory data set consists of thousands of records. To discover valuable knowledge from these records advanced data mining techniques must be applied. Models developed from these techniques will be useful for predication. In this paper data mining classification techniques are analyzed on trajectory dataset and Performance of these techniques is evaluated with recall, precision, kappa and accuracy.