@InProceedings{SantosFurAlvPelBog:2015:InReTr,
author = "Santos, Areli Andreia dos and Furtado, Andre Salvaro and Alvares,
Luis Otavio and Pelekis, Nikos and Bogorny, Vania",
affiliation = "{Universidade Federal de Santa Catarina (UFSC)} and {Universidade
Federal de Santa Catarina (UFSC)} and {Universidade Federal de
Santa Catarina (UFSC)} and {University of Piraeus (UPRC)} and
{Universidade Federal de Santa Catarina (UFSC)}",
title = "Inferring relationships from trajectory data",
booktitle = "Anais...",
year = "2015",
editor = "Fileto, Renato and Korting, Thales Sehn",
pages = "68--79",
organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 16. (GEOINFO)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Devices like smart phones and GPS navigators are very popular
nowadays. These equipments can save the location of an object with
an associated time, generating a new kind of data, called
trajectories of moving objects. With these data it is possible to
discover several interesting patterns, among which is the
interaction between individuals, allowing to infer their
relationship. This work addresses the discovery of relationship
degree between moving objects based on their encounters. To
calculate the relationship degree we propose different measures
based on frequency, duration, and area of the encounters. These
measures were evaluated in experiments with a running example and
real trajectory data, and show that the method correctly infers
relationships.",
conference-location = "Campos do Jord{\~a}o",
conference-year = "27 nov. a 02 dez. 2015",
issn = "2179-4820",
language = "en",
ibi = "8JMKD3MGPDW34P/3KP3262",
url = "http://urlib.net/ibi/8JMKD3MGPDW34P/3KP3262",
targetfile = "proceedings2015_p6.pdf",
urlaccessdate = "27 abr. 2024"
}