Association rules mining applied in the animal movement exploratory analysis

  • S. G. Fontes Escola Politécnica Universidade de São Paulo (USP)
  • P. L. P. Côrrea Escola Politécnica Universidade de São Paulo (USP)
  • S. L. Stanzani Centro de Computação Científica - Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)
  • R. G. Morato Centro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros (CENAP)/ICMBIO


The animal movement analysis determines the animal behavior, which is the basis for understanding the interaction between species and the environment and to guide actions of preservation and conservation. The challenge is how to explore this movement data, getting indications about how the animal behaves over time and space. In this sense, a framework to animal movement exploratory analysis is presented, that combines algorithms for spatiotemporal data analysis and association rules mining, as a first step to answer questions related to animal behavior. We performed the framework’s evaluation in the exploratory analysis of monitored monkeys (Cebus capucinus) in the Panamá.

Palavras-chave: animal behavior, animal movement, association rules mining, data science, spatiotemporal data analysis


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FONTES, S. G.; CÔRREA, P. L. P.; STANZANI, S. L.; MORATO, R. G.. Association rules mining applied in the animal movement exploratory analysis. In: SYMPOSIUM ON KNOWLEDGE DISCOVERY, MINING AND LEARNING (KDMILE) , 2019, Fortaleza. Anais do VII Symposium on Knowledge Discovery, Mining and Learning. Porto Alegre: Sociedade Brasileira de Computação, nov. 2019 . p. 1-8. DOI: