Data Mining of Activity Transactions to Strengthen Debt Prevention

活动交易数据挖掘，加强债务预防

• 批准号: LP0775041
• 负责人: Prof Chengqi Zhang
• 金额: $ 32.23万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2007
• 资助国家: 澳大利亚
• 起止时间: 2007-01-02 至 2009-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0775041
• 关键词: Data; Mining; Activity; Transactions; Strengthen

A national benefit from this research will be the significant analytical contribution to the prevention of incorrect payment directly associated with 30% of Commonwealth outlays. Funds not incorrectly paid will be available for direction to other areas of national importance. Another benefit is the new technology will have application in commercial, state and federal government agencies where research into activity, event or process data can be used to improve service delivery outcomes. A further national benefit will be the development and use of frontier activity transaction mining techniques to ensure Australia a leading role in enterprise data mining research and development.

这项研究的国家利益将是对防止与英联邦支出的30%直接相关的不正确支付的重大分析贡献。没有支付错误的资金将可用于指导其他具有国家重要性的领域。另一个好处是，这项新技术将在商业、州和联邦政府机构中得到应用，在这些机构中，对活动、事件或过程数据的研究可以用来改善服务交付结果。进一步的国家利益将是开发和使用前沿活动交易挖掘技术，以确保澳大利亚在企业数据挖掘研究和开发方面处于领先地位。