Homelessness is a social and health problem with great repercussions in Europe. Many non-governmental organisations help homeless people by collecting and analysing large amounts of information about them. However, these tasks are not always easy to perform, and hinder other of the organisations duties. The SINTECH project was created to tackle this issue proposing two different tools: a mobile application to quickly and easily collect data; and a software based on artificial intelligence which obtains interesting information from the collected data. The first one has been distributed to some Spanish organisations which are using it to conduct surveys of homeless people. The second tool implements different feature selection and association rules mining methods. These artificial intelligence techniques have allowed us to identify the most relevant features and some interesting association rules from previously collected homeless data.

欧洲的无家可归是一个社会和健康问题，许多非政府组织通过收集和分析大量关于无家可归者的信息来帮助他们，使用了SINTECH项目提供的移动应用和基于人工智能的软件工具，以便快速收集数据和从中获取有意义的信息。

利用特征选择和挖掘关联规则分析无家可归者的需求