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Managing and Mining Sensor Data
A number of sensor applications in recent years collect data which can be directly associated with human interactions. Some examples of such applications include GPS applications on mobile devices, accelerometers, or location sensors designed to track human and vehicular traffic. Such data lends itself to a variety of rich applications in which one can use the sensor data in order to model the underlying relationships and interactions. This requires the development of trajectory miningdoi:10.1007/978-1-4614-6309-2_9 fatcat:7k74wrhmozearbfbfod3yqjxcm