Data driven decision making for complex problems

针对复杂问题的数据驱动决策

• 批准号: DP170103174
• 负责人: Prof James Bailey
• 金额: $ 34.88万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-01-01 至 2020-06-25
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP170103174
• 关键词: Data; driven; decision; making; complex

This project aims to formulate methods for using constraint solving and data mining in a complementary and holistic manner. Complex health, educational and social issues require complex decisions supported by automated analysis techniques using rich data sources and human knowledge. Constraint solving and data mining make decisions easier, but are mostly deployed independently, limiting the effectiveness of decisions. This project’s methods should lead to effective and flexible data driven decision making tools for tackling challenging multi-component problems.

该项目旨在制定以互补和整体的方式使用约束求解和数据挖掘的方法。复杂的健康、教育和社会问题需要使用丰富的数据源和人类知识的自动化分析技术来支持复杂的决策。约束求解和数据挖掘使决策变得更容易，但大多是独立部署的，限制了决策的有效性。该项目的方法应该导致有效和灵活的数据驱动的决策工具，以解决具有挑战性的多组件问题。