Title :
Saving rhinos with predictive analytics
Author :
Noseong Park ; Serra, Edoardo ; Subrahmanian, V.S.
Author_Institution :
Univ. of Maryland, MD, USA
Abstract :
This article, the first entry in the new Predictive Analytics column, looks at the problem of animal poaching. The authors describe their Anti-Poaching Engine system, which builds on behavior models of both rhinos and poachers to protect as many animals as possible.
Keywords :
artificial intelligence; data analysis; environmental legislation; environmental science computing; AI; APE system; animal poaching; antipoaching engine system; artificial intelligence; behavior model; predictive analytics; rhino protection; Animals; Computational modeling; Data models; Planning; Predictive models; Anti-Poaching Engine; behavioral model; poaching; predictive analytics; rhinos;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2015.62
