Spatiotemporal data mining

Arun Sharma, Zhe Jiang and Shashi Shekhar

Chapter 21 in Handbook of Spatial Analysis in the Social Sciences, 2022, pp 352-368 from Edward Elgar Publishing

Abstract: Spatiotemporal data mining aims to discover interesting, useful but non-trivial patterns in big spatial and spatiotemporal data. They are used in various application domains such as public safety, ecology, epidemiology, earth science etc. This problem is challenging because of the high societal cost of spurious patterns and exorbitant computational cost. Recent surveys of spatiotemporal data mining need update due to rapid growth. In addition, they did not adequately survey parallel techniques for spatiotemporal data mining. This paper provides a more up-to-date survey of spatiotemporal data mining methods. Furthermore, it has a detailed survey of parallel formulations of spatiotemporal data mining.

Keywords: Development Studies; Economics and Finance; Environment; Geography; Research Methods; Sociology and Social Policy; Urban and Regional Studies (search for similar items in EconPapers)
Date: 2022
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