SeTraStream: Semantic-Aware Trajectory Construction Over Streaming Movement Data
With the growth of location-based tracking technology like GPS, RFID and GSM networks, an enormous amount of trajectory data are generated from various real life applications, including traffic management, urban planning and geo-social networks. A lot of studies have already been established on trajectories, ranging from data management to data analysis. The focus of trajectory data management includes building data models, query languages and implementation aspects, such as efficient indexing, query processing, and optimization techniques; whilst the analysis aims at trajectory data mining including issues like classification, clustering, outlier detection, as well as trajectory pattern discovery (e.g. sequential, periodic and convoy patterns).