%0 Journal Article
	%A Suelane Garcia Fontes and  Silvio Luiz Stanzani and  Pedro L. Pizzigatti Corrła Ronaldo G. Morato
	%D 2020
	%J International Journal of Information and Communication Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 165, 2020
	%T AniMoveMineR: Animal Behavior Exploratory Analysis Using Association Rules Mining
	%U https://publications.waset.org/pdf/10011456
	%V 165
	%X Environmental changes and major natural disasters are
most prevalent in the world due to the damage that humanity has
caused to nature and these damages directly affect the lives of
animals. Thus, the study of animal behavior and their interactions
with the environment can provide knowledge that guides researchers
and public agencies in preservation and conservation actions.
Exploratory analysis of animal movement can determine the patterns
of animal behavior and with technological advances the ability of
animals to be tracked and, consequently, behavioral studies have
been expanded. There is a lot of research on animal movement and
behavior, but we note that a proposal that combines resources and
allows for exploratory analysis of animal movement and provide
statistical measures on individual animal behavior and its interaction
with the environment is missing. The contribution of this paper is
to present the framework AniMoveMineR, a unified solution that
aggregates trajectory analysis and data mining techniques to explore
animal movement data and provide a first step in responding questions
about the animal individual behavior and their interactions with other
animals over time and space. We evaluated the framework through the
use of monitored jaguar data in the city of Miranda Pantanal, Brazil,
in order to verify if the use of AniMoveMineR allows to identify the
interaction level between these jaguars. The results were positive and
provided indications about the individual behavior of jaguars and
about which jaguars have the highest or lowest correlation.
	%P 316 - 323