TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade

Debanjan Datta; Nathan Self; John SimeoneAmelia MeadowsWillow OuthwaiteLinda WalkerNiklas ElmqvistNaren Ramakrishnan

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TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade

机译：TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade

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Detecting illegal shipments in the global timber trade poses a massive challenge to enforcement agencies. The massive volume and complexity of timber shipments and obfuscations within international trade data, intentional or not, necessitates an automated system to aid in detecting specific shipments that potentially contain illegally harvested wood. To address these requirements we build a novel human-in-the-loop visual analytics system called TIMBERSLEUTH. TimberSleuth uses a novel scoring model reinforced through human feedback to improve upon the relevance of the results of the system while using an off-the-shelf anomaly detection model. Detailed evaluation is performed using real data with synthetic anomalies to test the machine intelligence that drives the system. We design interactive visualizations to enable analysis of pertinent details of anomalous trade records so that analysts can determine if a record is relevant and provide iterative feedback. This feedback is utilized by the machine learning model to improve the precision of the output.

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来源
《Information visualization》 |2023年第3期|223-245|共23页
作者
Debanjan Datta; Nathan Self; John SimeoneAmelia MeadowsWillow OuthwaiteLinda WalkerNiklas ElmqvistNaren Ramakrishnan;
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作者单位

1Department of Computer Science, Virginia Tech;

2World Wildlife Fund||3Simeone Consulting, LLC;

2World Wildlife Fund4TRAFFIC International5College of Information Studies, University of Maryland;

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原文格式 PDF
正文语种英语
中图分类计算技术、计算机技术;
关键词
Visual analytics; anomaly detection; active learning; machine learning;

TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade

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