Výsledky vyhledávání - "Heraldo Borges"

Identification of the North Brazil Current through spatial motifs in fixed time slices

Autor: Ricardo Buçard de Castro, Vinicius Correia Monteiro, Rafaelli Coutinho, Heraldo Borges, Eduardo Ogasawara

Publikováno v: Anais do XVI Brazilian e-Science Workshop (BRESCI 2022).

As análises de motifs espaço-temporais podem fornecer intuições sobre os dados. Também pode ser particularmente interessante analisar os padrões espaciais fixando-se uma fatia temporal. Uma variável na qual a relação espaço e tempo é prese

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c63d38345d332f33119b7123ab411e03
https://doi.org/10.5753/bresci.2022.222622

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Generalização de Mineração de Sequências Restritas no Espaço e no Tempo

Autor: Antonio Castro, Heraldo Borges, Ricardo Campisano, Esther Pacitti, Fabio Porto, Rafaelli Coutinho, Eduardo Ogasawara

Publikováno v: SBBD 2021-Simpósio Brasileiro de Banco de Dados
SBBD 2021-Simpósio Brasileiro de Banco de Dados, SBC, Oct 2021, Online, Brazil. pp.313-318, ⟨10.5753/sbbd.2021.17891⟩
SBBD: Simpósio Brasileiro de Banco de Dados
SBBD: Simpósio Brasileiro de Banco de Dados, SBC, Oct 2021, Online, Brazil. pp.313-318

International audience; Spatiotemporal patterns bring knowledge of sequences of events, place and time when they occur. Finding such patterns is a complex task and one of great value for different domains. However, not all patterns are frequent acros

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9848e46b2396a0232384b39bce99d687
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03452154/document

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Spatial-Time Motifs Discovery

Autor: Fabio Porto, Amin Bazaz, Murillo Dutra, Fábio André Perosi, Heraldo Borges, Eduardo Ogasawara, Florent Masseglia, Rafaelli Coutinho, Esther Pacitti

Publikováno v: Intelligent Data Analysis
Intelligent Data Analysis, 2020, 24 (5), pp.1121-1140. ⟨10.3233/IDA-194759⟩
Intelligent Data Analysis, IOS Press, 2020

International audience; Discovering motifs in time series data has been widely explored. Various techniques have been developed to tackle this problem. However, when it comes to spatial-time series, a clear gap can be observed according to the litera

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fec75e810a0432fab53472b50064772
https://hal-lirmm.ccsd.cnrs.fr/lirmm-02984969

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Discovering patterns in sentimental analysis

Autor: Leonardo Ferreira dos Santos, Eduardo Ogasawara, Flavio Carvalho, Heraldo Borges, Gustavo Paiva Guedes

Publikováno v: WebMedia

Users are continually using text-based social networks and messaging applications to express their sentiments throughout the day. Each post can be interpreted as an event with a message and a time-stamp associated with it. With these considerations,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c456eb57bc71469d1744b4088fded3d
https://doi.org/10.1145/3323503.3361683

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Discovering Tight Space-Time Sequences

Autor: Fabio Porto, Fábio André Perosi, Florent Masseglia, Eduardo Ogasawara, Esther Pacitti, Heraldo Borges, Riccardo Campisano

Publikováno v: 20th International Conference on Big Data Analytics and Knowledge Discovery
DaWaK: Data Warehousing and Knowledge Discovery
DaWaK: Data Warehousing and Knowledge Discovery, Sep 2018, Regensburg, Germany. pp.247-257, ⟨10.1007/978-3-319-98539-8_19⟩
Big Data Analytics and Knowledge Discovery ISBN: 9783319985381
DaWaK
Big Data Analytics and Knowledge Discovery-20th International Conference, DaWaK 2018, Regensburg, Germany, September 3–6, 2018, Proceedings
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Big Data Analytics and Knowledge Discovery

International audience; The problem of discovering spatiotemporal sequential patterns affects a broad range of applications. Many initiatives find sequences constrained by space and time. This paper addresses an appealing new challenge for this domai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7cddee949f127464ef60bc4d2695e93
https://hal.science/hal-01925965

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Space Syntax in an idiorrhythmical conglomerate: the case of Jardim Piratininga, São Paulo, Brazil

Autor: Luciano Silva, Bruno Futema, Heraldo Borges

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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This article is the result of a partnership between the research group Urban Issues: Design, Architecture, Planning and Landscape - Q.URB, and the Group of Studies of the Urban Form in Brazil - FU.bá, both of the Faculty of Architecture and Urbanism

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33d37f07982bafa04d33c5ea554265de
https://doi.org/10.4995/isuf2017.2017.6286

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