Investigations into machine learning applications in link analysis.

研究机器学习在链接分析中的应用。

• 批准号: LX0882106
• 负责人: A/Prof Markus Hagenbuchner
• 金额: $ 1.6万
• 依托单位: University of Wollongong
• 依托单位国家: 澳大利亚
• 项目类别: Linkage - International
• 财政年份: 2008
• 资助国家: 澳大利亚
• 起止时间: 2008-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LX0882106
• 关键词: Investigations; into; machine; learning; applications

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.

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。对此类数据中的模式的检测可以导致对欺诈发生、计算机系统中的安全漏洞以及与社区的社交交互模式的检测。它还被广泛应用于网络搜索引擎设计和营销分析等应用中。该项目旨在通过纳入适当说明行为者之间关系的背景信息，推动联系分析领域的发展。链接检测方面的进步将使安全和网络服务得到改进，这是国家机构广泛依赖的领域。该项目有助于将澳大利亚置于这一研究领域的前沿。