@InCollection{MonteiroFerrSant:2017:AlDiPa,
author = "Monteiro, Diego Vilela and Ferreira, Karine Reis and Santos,
Rafael Duarte Coelho dos",
title = "An algorithm to discover partners in trajectories",
booktitle = "Computational Science and Its Applications – ICCSA 2017",
publisher = "Springer",
year = "2017",
editor = "Gervasi, Osvaldo and Murgante, Beniamino and Misra, Sanjay and
Borruso, Giuseppe and Torre, Carmelo M. and Rocha, Ana Maria A. C.
and Taniar, David and Apduhan, Bernady O. and Stankova, Elena and
Cuzzocrea, Alfredo",
pages = "647--661",
keywords = "Moving objects, Trajectory, Pattern, Data mining.",
abstract = "Spatiotemporal data is everywhere, being gathered from different
devices such as Earth Observation and GPS satellites, sensor
networks and mobile gadgets. Spatiotemporal data collected from
moving objects is of particular interest for a broad range of
applications. In the last years, such applications have motivated
many researches on moving object trajectory data mining. In this
paper, we propose an efficient method to discover partners in
moving object trajectories. Such method identifies pairs of
trajectories whose objects stay together during certain periods,
based on distance time series analysis. We present two case
studies using the proposed algorithm.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
isbn = "978-331962406-8",
language = "en",
seriestitle = "Lecture Notes in Computer Science , 10409",
urlaccessdate = "27 abr. 2024"
}