Multiple Data Source Discovery: Group Interaction Approach

多数据源发现：群组交互方法

• 批准号: DP0985456
• 负责人: A/Prof Shichao Zhang
• 金额: $ 29.17万
• 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: 2009
• 资助国家: 澳大利亚
• 起止时间: 2009-02-05 至 2013-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0985456
• 关键词: Multiple; Data; Source; Discovery; Group

This project will develop new technology and theory to identify and evaluate incomplete data. It will deliver a high-performance group-interaction based global pattern discovery system that enables decision-makers (like doctors) to access valuable implicit information that is contained in their data but not currently accessible. Mining group interactions will greatly extend the scope of pattern discovery and new product evaluation. The outcomes of the project will lead to better diagnostic decisions and will lead to increased efficiency in Australian Industries.

该项目将开发新技术和理论来识别和评估不完整的数据。它将提供一个基于高性能群体交互的全局模式发现系统，使决策者（如医生）能够访问其数据中包含但当前无法访问的有价值的隐式信息。挖掘小组的互动将极大地扩展模式发现和新产品评估的范围。该项目的成果将带来更好的诊断决策，并将提高澳大利亚工业的效率。