Data driven decision making for complex problems

本项目旨在制定约束求解和数据挖掘相辅相成的整体方法。复杂的卫生、教育和社会问题需要由使用丰富数据源和人类知识的自动化分析技术支持的复杂决策。约束求解和数据挖掘使决策更容易，但大多是独立部署的，限制了决策的有效性。本项目的方法将导致有效和灵活的数据驱动决策工具，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.