Spatiotemporal data analysis with chronological networks

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.

Bibliographic Details
Main Authors: Leonardo N. Ferreira, Didier A. Vega-Oliveros, Moshé Cotacallapa, Manoel F. Cardoso, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau
Format: Article
Language:English
Published: Nature Publishing Group 2020-08-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-17634-2