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

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Debanjan Datta, Nathan Self, J. Simeone, A. Meadows, Willow Outhwaite, Linda Walker, N. Elmqvist, Naren Ramkrishnan
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引用次数: 3

Abstract

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.
TimberSleuth:利用人类反馈进行视觉异常检测,以减少非法木材贸易
检测全球木材贸易中的非法运输对执法机构构成了巨大挑战。木材运输量巨大且复杂,国际贸易数据中存在混淆现象,无论是否有意,都需要一个自动化系统来帮助检测可能含有非法采伐木材的特定运输。为了满足这些需求,我们构建了一个名为TIMBERSLEUTH的新型人在环视觉分析系统。TimberSleuth在使用现成的异常检测模型的同时,使用了一种通过人类反馈增强的新评分模型来提高系统结果的相关性。使用具有合成异常的真实数据进行详细评估,以测试驱动系统的机器智能。我们设计了交互式可视化,以便能够分析异常交易记录的相关细节,以便分析师能够确定记录是否相关,并提供迭代反馈。机器学习模型利用这种反馈来提高输出的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information Visualization
Information Visualization COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.40
自引率
0.00%
发文量
16
审稿时长
>12 weeks
期刊介绍: Information Visualization is essential reading for researchers and practitioners of information visualization and is of interest to computer scientists and data analysts working on related specialisms. This journal is an international, peer-reviewed journal publishing articles on fundamental research and applications of information visualization. The journal acts as a dedicated forum for the theories, methodologies, techniques and evaluations of information visualization and its applications. The journal is a core vehicle for developing a generic research agenda for the field by identifying and developing the unique and significant aspects of information visualization. Emphasis is placed on interdisciplinary material and on the close connection between theory and practice. This journal is a member of the Committee on Publication Ethics (COPE).
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