Mining large negative correlations for high-dimensional contrasting analysis

挖掘大的负相关性进行高维对比分析

• 批准号: DP130102124
• 负责人: Prof Jinyan Li
• 金额: $ 22.75万
• 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: 2013
• 资助国家: 澳大利亚
• 起止时间: 2013-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP130102124
• 关键词: Mining; large; negative; correlations; dimensional

Negative correlations are widely embedded in real life applications, but in-depth research has rarely been conducted due to its high level of complexity. This project aims at efficient algorithms and frontier theory for finding large negative correlations, to enable smart information use in bioinformatics to promote Australia's leading role in data mining research.

负相关在现实生活中广泛应用，但由于其高度复杂性，很少进行深入的研究。该项目旨在寻找有效的算法和前沿理论来发现大的负相关性，使生物信息学中的智能信息使用能够促进澳大利亚在数据挖掘研究中的领先地位。