Spatial trajectory data is widely available today. Over a sustained period of time, trajectory data has been collected from numerous GPS devices, smartphones, sensors and social media applications. How do we manage them? What values can a business derive from them, and how? Due to their very large volumes, the nature of streaming itself, highly variable levels of data quality, as well as many possible links with other types of data, making sense of spatial trajectory data is one of the crucial areas for big data analytics. In this talk, we will introduce this increasingly important research area, with new applications, new problems and new opportunities. We will discuss recent advances in trajectory data management and trajectory mining in the context of machine-to-machine data processing, from their foundations to high performance processing with modern computing infrastructures. [Go to the full record in the library's catalogue]
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