Mining Multiple Information Sources through Collaborative and Comparative Analysis

通过协作和比较分析挖掘多种信息源

• 批准号: DP1093762
• 负责人: Prof Chengqi Zhang
• 金额: $ 23.33万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2010
• 资助国家: 澳大利亚
• 起止时间: 2010-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP1093762
• 关键词: Mining; Multiple; Information; Sources; through

Mining multiple information sources can significantly enhance our capacity for smart information use. This is because patterns behind scams, fraud, and terrorism activities are difficult to detect, unless pieces of isolated information are properly linked together for mining. This project will deliver cutting-edge data mining techniques, actionable tools, and case study materials, all of which will lead to a number of high quality publications to enhance Australia's international foremost standing in the data mining community. The project will involve highly trained and skilled researchers and practitioners to advance the workforce development in the Australian information technology industry and ensure the healthy growth of the economy.

挖掘多个信息源可以显着提高我们对智能信息的使用能力。这是因为诈骗、欺诈和恐怖主义活动背后的模式很难被发现，除非将孤立的信息正确地链接在一起进行挖掘。该项目将提供尖端的数据挖掘技术，可操作的工具和案例研究材料，所有这些都将导致一些高质量的出版物，以提高澳大利亚在数据挖掘领域的国际领先地位。该项目将涉及训练有素和技术熟练的研究人员和从业人员，以促进澳大利亚信息技术行业的劳动力发展，并确保经济的健康增长。