Spatio-Temporal Data Mining ─ Coping with the Increasing Availability of Motion Data in Geography
نویسنده
چکیده
This paper discusses two data mining tasks to cope with the challenge of an increasing availability of high-resolution, individual-based motion data in Geography. First, techniques for motion patterns detection are presented adopting a ‘retrieval by content’ approach. Second, lifeline similarity measures are proposed as a means for ‘descriptive modelling’.
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