Spatiotemporal data mining: an overview

Thesis link ：https://arxiv.org/pdf/2206.12753.pdf

The purpose of spatiotemporal data mining is to find interesting data in large spatial and spatiotemporal data 、 Useful but non trivial patterns . Applied to public safety 、 Ecology 、 epidemiology 、 Earth science and other fields . This problem is challenging , Because of the high social cost and high calculation cost of the false model . In recent years, the research of spatiotemporal data mining needs to be updated because of its rapid growth . Besides , They have not fully studied the parallel technology of spatiotemporal data mining . This paper introduces the latest development of spatiotemporal data mining . secondly , The parallel computing methods of spatiotemporal data mining are summarized in detail ;

Spatiotemporal data mining is to find new data in large-scale spatiotemporal data 、 The process of non trivial but potentially useful patterns . space-time (ST) The data include geo referenced climate variables 、 Epidemic outbreak 、 Crime 、 social media 、 traffic 、 Traffic dynamics, etc . Because of its interdisciplinary nature , Analyzing and mining these data is very important for advancing many scientific problems and the most advanced technologies in the real world . therefore ST Data in public safety 、 Ecology 、 The application of epidemiology and other fields is particularly prominent .