Learning to See More: Better Bayesian Track Before Detect using Statistical Machine Learning

学习了解更多：使用统计机器学习在检测前更好地进行贝叶斯跟踪

• 批准号: 2447388
• 金额: --
• 依托单位: University of Liverpool
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2447388
• 关键词: Learning; See; More; Better; Bayesian

Organised crime is one of the greatest threats to the UK's national security. The role of the National Crime Agency (NCA) is to protect the public by disrupting and bringing to justice those serious and organised criminals who present the highest risk to the UK. However, the volumes of data are growing exponentially. There is therefore a need to work with these experts to automate the processing of the data, learn what these hallmarks are and then search the data for instances worthy of further human analysis. The need is growing for such data-driven intelligence.

有组织犯罪是对英国国家安全的最大威胁之一。国家犯罪署（NCA）的作用是保护公众，扰乱并将那些对联合王国构成最高风险的严重和有组织犯罪分子绳之以法。然而，数据量正在呈指数级增长。因此，有必要与这些专家合作，使数据处理自动化，了解这些特征是什么，然后在数据中搜索值得进一步人工分析的实例。对这种数据驱动的智能的需求正在增长。