Saving Rhinos with Predictive Analytics

Noseong Park; Edoardo Serra; V. S. Subrahmanian

doi:10.1109/MIS.2015.62

Saving Rhinos with Predictive Analytics

Noseong Park
, Edoardo Serra
, V. S. Subrahmanian

Computer Science Department

University of Maryland, College Park

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

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.

Original language	English
Article number	7156002
Pages (from-to)	86-88
Number of pages	3
Journal	IEEE Intelligent Systems
Volume	30
Issue number	4
DOIs	https://doi.org/10.1109/MIS.2015.62
State	Published - 1 Jul 2015

Keywords

Anti-Poaching Engine
behavioral model
poaching
predictive analytics
rhinos

EGS Disciplines

Computational Engineering

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10.1109/MIS.2015.62

Cite this

@article{c78d172a40b946b696050d132f17d804,

title = "Saving Rhinos with Predictive Analytics",

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 = "Anti-Poaching Engine, behavioral model, poaching, predictive analytics, rhinos",

author = "Noseong Park and Edoardo Serra and Subrahmanian, \{V. S.\}",

note = "Publisher Copyright: {\textcopyright} 2001-2011 IEEE.",

year = "2015",

month = jul,

day = "1",

doi = "10.1109/MIS.2015.62",

language = "English",

volume = "30",

pages = "86--88",

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}

TY - JOUR

T1 - Saving Rhinos with Predictive Analytics

AU - Park, Noseong

AU - Serra, Edoardo

AU - Subrahmanian, V. S.

PY - 2015/7/1

Y1 - 2015/7/1

N2 - 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.

AB - 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.

KW - Anti-Poaching Engine

KW - behavioral model

KW - poaching

KW - predictive analytics

KW - rhinos

UR - https://www.scopus.com/pages/publications/84937220012

UR - http://dx.doi.org/10.1109/MIS.2015.62

U2 - 10.1109/MIS.2015.62

DO - 10.1109/MIS.2015.62

M3 - Article

AN - SCOPUS:84937220012

SN - 1541-1672

VL - 30

SP - 86

EP - 88

JO - IEEE Intelligent Systems

JF - IEEE Intelligent Systems

IS - 4

M1 - 7156002

ER -

Saving Rhinos with Predictive Analytics

Abstract

Keywords

EGS Disciplines

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