A Novel Location Prediction Scheme Based on Trajectory Data

many of location based services using mobile devices have pervaded theses day. They provide the new opportunity of analyzing the location prediction in an innovative method by using a lots of data generated from the mobile devices. In this paper, we propose a location prediction method using sensor data generated from smartphones or wearable devices. The location prediction scheme needs to include a predictive model to guarantee with high level analysis accuracy score. There are two-step approaches with regard to this: (I) extracting feature patterns on the history of an interesting object; (II) validating results of predicting the next location of users based on users' movement patterns. To do this, we propose a novel location prediction scheme using a frequent patterns matching and similarity measurement technique while considering the location-based statistical information for providing a public safety service in the future.