Data driven decision making for complex problems

该项目旨在制定以互补和整体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，通过自动化分析技术支持复杂的决策。约束求解和数据挖掘使决策更容易，但大多数情况下是独立部署的，限制了决策的有效性。该项目的方法应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。

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.