Original languageEnglish
JournalNature Ecology & Evolution
Volume2
Issue number3
Pages (from-to)406-407
Number of pages2
ISSN2397-334X
DOIs
Publication statusPublished - Mar 2018
MoE publication typeB1 Journal article

Fields of Science

  • 1181 Ecology, evolutionary biology
  • 519 Social and economic geography

Cite this

@article{4a36ab55955744a9b2be1f01e5384ec1,
title = "Machine learning for tracking illegal wildlife trade on social media",
keywords = "1181 Ecology, evolutionary biology, 519 Social and economic geography",
author = "{Di Minin}, Enrico and Christoph Fink and Henrikki Tenkanen and Tuomo Hiippala",
year = "2018",
month = "3",
doi = "10.1038/s41559-018-0466-x",
language = "English",
volume = "2",
pages = "406--407",
journal = "Nature Ecology & Evolution",
issn = "2397-334X",
publisher = "Nature Publishing Group",
number = "3",

}

Machine learning for tracking illegal wildlife trade on social media. / Di Minin, Enrico; Fink, Christoph; Tenkanen, Henrikki; Hiippala, Tuomo.

In: Nature Ecology & Evolution, Vol. 2, No. 3, 03.2018, p. 406-407.

Research output: Contribution to journalLetterScientific

TY - JOUR

T1 - Machine learning for tracking illegal wildlife trade on social media

AU - Di Minin, Enrico

AU - Fink, Christoph

AU - Tenkanen, Henrikki

AU - Hiippala, Tuomo

PY - 2018/3

Y1 - 2018/3

KW - 1181 Ecology, evolutionary biology

KW - 519 Social and economic geography

U2 - 10.1038/s41559-018-0466-x

DO - 10.1038/s41559-018-0466-x

M3 - Letter

VL - 2

SP - 406

EP - 407

JO - Nature Ecology & Evolution

JF - Nature Ecology & Evolution

SN - 2397-334X

IS - 3

ER -