Spatiotemporal Data Mining: A Survey
- URL: http://arxiv.org/abs/2206.12753v1
- Date: Sun, 26 Jun 2022 00:08:06 GMT
- Title: Spatiotemporal Data Mining: A Survey
- Authors: Arun Sharma, Zhe Jiang and Shashi Shekhar
- Abstract summary: Data mining aims to discover interesting but useful but non-trivial big patterns in spatial andtemporal data.
Recent surveys of data mining need update due to rapid growth.
This paper provides more up-to-date formulations fortemporal data mining methods.
- Score: 5.203259275098252
- License: http://creativecommons.org/licenses/by/4.0/
- 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.
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