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.

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Detalles Bibliográficos
Autores principales:	Leonardo N. Ferreira, Didier A. Vega-Oliveros, Moshé Cotacallapa, Manoel F. Cardoso, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/9df80fdfab9a4761a69dd016cbd31c3f
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spelling	oai:doaj.org-article:9df80fdfab9a4761a69dd016cbd31c3f2021-12-02T18:50:45ZSpatiotemporal data analysis with chronological networks10.1038/s41467-020-17634-22041-1723https://doaj.org/article/9df80fdfab9a4761a69dd016cbd31c3f2020-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17634-2https://doaj.org/toc/2041-1723Extracting 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.Leonardo N. FerreiraDidier A. Vega-OliverosMoshé CotacallapaManoel F. CardosoMarcos G. QuilesLiang ZhaoElbert E. N. MacauNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Leonardo N. Ferreira Didier A. Vega-Oliveros Moshé Cotacallapa Manoel F. Cardoso Marcos G. Quiles Liang Zhao Elbert E. N. Macau Spatiotemporal data analysis with chronological networks
description	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.
format	article
author	Leonardo N. Ferreira Didier A. Vega-Oliveros Moshé Cotacallapa Manoel F. Cardoso Marcos G. Quiles Liang Zhao Elbert E. N. Macau
author_facet	Leonardo N. Ferreira Didier A. Vega-Oliveros Moshé Cotacallapa Manoel F. Cardoso Marcos G. Quiles Liang Zhao Elbert E. N. Macau
author_sort	Leonardo N. Ferreira
title	Spatiotemporal data analysis with chronological networks
title_short	Spatiotemporal data analysis with chronological networks
title_full	Spatiotemporal data analysis with chronological networks
title_fullStr	Spatiotemporal data analysis with chronological networks
title_full_unstemmed	Spatiotemporal data analysis with chronological networks
title_sort	spatiotemporal data analysis with chronological networks
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/9df80fdfab9a4761a69dd016cbd31c3f
work_keys_str_mv	AT leonardonferreira spatiotemporaldataanalysiswithchronologicalnetworks AT didieravegaoliveros spatiotemporaldataanalysiswithchronologicalnetworks AT moshecotacallapa spatiotemporaldataanalysiswithchronologicalnetworks AT manoelfcardoso spatiotemporaldataanalysiswithchronologicalnetworks AT marcosgquiles spatiotemporaldataanalysiswithchronologicalnetworks AT liangzhao spatiotemporaldataanalysiswithchronologicalnetworks AT elbertenmacau spatiotemporaldataanalysiswithchronologicalnetworks
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Spatiotemporal data analysis with chronological networks

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