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Tesis

Categorical sequential pattern mining in a spatio-temporal environment

Gómez, Leticia Irene · RI ITBA · 2016

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"En esta tesis argumentamos que la información de trayectorias también puede ser integrada con datos GIS y OLAP, generando un marco poderoso de análisis". "In this thesis we argue that trajectory information can also be integrated with GIS and OLAP data, leading to a powerful analysis framework". Tesis Ingeniería Informática (doctorado) - Instituto Tecnológico de Buenos Aires, Buenos Aires, 2009

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APA 7

Gómez, L. I. (2016). Categorical sequential pattern mining in a spatio-temporal environment. RI ITBA. http://ri.itba.edu.ar/handle/20.500.14769/292

MLA

Gómez, Leticia Irene. Categorical sequential pattern mining in a spatio-temporal environment. RI ITBA, 2016. http://ri.itba.edu.ar/handle/20.500.14769/292.

Chicago

Gómez, Leticia Irene. 2016. Categorical sequential pattern mining in a spatio-temporal environment. RI ITBA. http://ri.itba.edu.ar/handle/20.500.14769/292.

Harvard

Gómez, L. I. 2016, Categorical sequential pattern mining in a spatio-temporal environment, RI ITBA, available at: http://ri.itba.edu.ar/handle/20.500.14769/292 [Accessed 10 Aug. 2026].

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Title
Categorical sequential pattern mining in a spatio-temporal environment
Author / contributors
Gómez, Leticia Irene
Publisher
RI ITBA
Publication year
2016
Language
English

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