arXiv Open Access 2022

Spatiotemporal Data Mining: A Survey

Arun Sharma Zhe Jiang Shashi Shekhar

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Abstrak

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.

Topik & Kata Kunci

cs.DB cs.CV cs.DC cs.LG

Penulis (3)

Arun Sharma

Zhe Jiang

Shashi Shekhar

Format Sitasi

APA MLA BibTeX

Sharma, A., Jiang, Z., Shekhar, S. (2022). Spatiotemporal Data Mining: A Survey. https://arxiv.org/abs/2206.12753

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓