Detecting Key Concepts from Low-Quality Data for Better Decision

从低质量数据中检测关键概念以做出更好的决策

• 批准号: DE230101116
• 负责人: Dr Miao Xu
• 金额: $ 29.59万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-07-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE230101116
• 关键词: Detecting; Key; Concepts; Low; Quality

The project aims to develop data analytics techniques that aid better decision making in high-stake scenarios when data are less-trustable. While data-aided decision making has been widely used, less-trustable data may significantly distort the decisions made and hurt people impacted by these decisions. The outcome of this project expects to be a series of techniques covering data understanding and enhancement, model development and fitting, and novelty detection, to reduce the damage of less-trustable data. The research expects to benefit the people and companies impacted by data-aided decision making in cybersecurity, healthcare and financial fraud detection, providing risk-control services.

该项目旨在开发数据分析技术，帮助在数据不太可信的高风险场景下做出更好的决策。虽然数据辅助决策已被广泛使用，但不可靠的数据可能会严重扭曲决策，并伤害受这些决策影响的人。该项目的成果预计将包括一系列技术，包括数据理解和增强、模型开发和拟合以及新颖性检测，以减少不可信数据的损害。该研究希望通过提供风险控制服务，使受网络安全、医疗保健和金融欺诈检测等数据辅助决策影响的个人和公司受益。