Nature Communications (Aug 2020)

Spatiotemporal data analysis with chronological networks

  • Leonardo N. Ferreira,
  • Didier A. Vega-Oliveros,
  • Moshé Cotacallapa,
  • Manoel F. Cardoso,
  • Marcos G. Quiles,
  • Liang Zhao,
  • Elbert E. N. Macau

DOI
https://doi.org/10.1038/s41467-020-17634-2
Journal volume & issue
Vol. 11, no. 1
pp. 1 – 11

Abstract

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Extracting central information from ever-growing data generated in our lives calls for new data mining methods. Ferreira et al. show a simple model, called chronnets, that can capture frequent patterns, spatial changes, outliers, and spatiotemporal clusters.