Investigations into machine learning applications in link analysis.

链接分析是一种用于检测结构化数据中的模式的新兴工具。检测这些数据中的模式可以导致检测欺诈事件、计算机系统中的安全漏洞以及与社区的社会交互模式。它还广泛应用于Web搜索引擎设计和营销分析等应用程序。该项目旨在通过允许整合上下文信息来推进链接分析领域，上下文信息可以适当地解释参与者之间的关系。链接检测方面的进步将使许多国家机构所依赖的安全和网络服务得到改善。这个项目可以帮助澳大利亚在这个研究领域的前沿。

Link analysis is an emerging tool for the detection of patterns in structured data. The detection of pattern in such data can lead to the detection of fraud occurrence, security breaches in computer systems, and patterns of social interactions with a community. It is also popularly applied to applications such as Web search engine designs and marketing analysis. This project aims to advance the area of link analysis by allowing the incorporation of contextual information which accounts for relationships among actors properly. Advances in link detection will allow improvements in security and Web services on which a wide field of national bodies rely. This project can help to place Australia at the forefront of this research area.