A framework for investigating illegal wildlife trade on social media with machine learning

Di Minin Enrico; Fink Christoph; Hiippala Tuomo; Tenkanen Henrikki

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A framework for investigating illegal wildlife trade on social media with machine learning

机译：用机器学习调查非法野生动物贸易的框架

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来源
《Conservation Biology》 |2019年第1期|共4页
作者
Di Minin Enrico; Fink Christoph; Hiippala Tuomo; Tenkanen Henrikki;
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作者单位

Univ Helsinki Dept Geosci &

Geog Digital Geog Lab FI-00014 Helsinki Finland;

Univ Helsinki Dept Geosci &

Geog Digital Geog Lab FI-00014 Helsinki Finland;

Univ Helsinki Dept Geosci &

Geog Digital Geog Lab FI-00014 Helsinki Finland;

Univ Helsinki Dept Geosci &

Geog Digital Geog Lab FI-00014 Helsinki Finland;

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原文格式 PDF
正文语种 eng
中图分类环境生物学;
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1. A framework for investigating illegal wildlife trade on social media with machine learning [J] . Di Minin Enrico, Fink Christoph, Hiippala Tuomo, Conservation Biology . 2019,第1期

机译：用机器学习调查非法野生动物贸易的框架
2. Serendipity in research-investigation into illegal wildlife trade discovers a new population of Steller's sea cows: a reply to Pyenson et al. (2016) [J] . Crerar Lorelei, Parsons E. C. M., Domning Daryl Biology Letters . 2016,第2期

机译：关于非法野生动物贸易的研究调查发现了一个新的斯特勒海奶牛人口：对Pyenson等人的回复。（2016）
3. Using online media-sourced seizure data to assess the illegal wildlife trade in Siamese rosewood [J] . Siriwat Penthai, Nijman Vincent Environmental Conservation . 2018,第4期

机译：使用在线媒体获取的缉获数据评估暹罗紫檀的非法野生动植物贸易
4. Towards Developing Effective Machine Learning Frameworks to Identify Toxic Conversations Over Social Media [C] . Ritam Majumder, Tanmay Basu International Conference on Data Science . 2018

机译：发展有效的机器学习框架，以识别社交媒体的毒性对话
5. A Review of Reasons for Failure in Applying Machine Learning to Financial Trading and an Experiment Investigating Combinatorial Purged Cross Validation’s Merit in Preventing the Most Prominent of These Reasons, Multiple Testing Bias [D] . Fritz, Colin. 2019

机译：综述金融交易应用机器学习失败的原因及调查组合清除交叉验证的实验，防止这些原因最突出的最突出，多次测试偏见
6. A framework for investigating illegal wildlife trade on social media with machine learning [O] . Enrico Di Minin, Christoph Fink, Tuomo Hiippala, -1

机译：利用机器学习调查社交媒体上非法野生动植物交易的框架
7. Taking the path of least resistance?: Decision-making in police investigations of illegal wildlife trade [O] . Runhovde, Siv Rebekka 2016

机译：走阻力最小的道路？：警方调查非法野生动物贸易的决策

A framework for investigating illegal wildlife trade on social media with machine learning

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