Multi source inference from heterogeneous dynamic networks

异构动态网络的多源推理

• 批准号: DP140101969
• 负责人: Prof Ramamohanarao Kotagiri
• 金额: $ 46.14万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2014
• 资助国家: 澳大利亚
• 起止时间: 2014-07-01 至 2018-04-01
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP140101969
• 关键词: Multi; source; inference; heterogeneous; dynamic

Sophisticated big data applications in engineering, the social sciences and biology are now generating flows of data across multiple sources possessing a variety of structures. An emerging challenge is how to develop data mining methods that can cope with this complexity and diversity to make inferences and provide practical insights. This project will develop methods in tensor data mining that provide a new foundation for extracting useful knowledge from multi source heterogeneous data sets. This will help accelerate discoveries in the next generation of data driven science.

工程、社会科学和生物学中复杂的大数据应用程序现在正在产生跨拥有各种结构的多个来源的数据流。一个新出现的挑战是如何开发能够应对这种复杂性和多样性的数据挖掘方法，以做出推断并提供实用的见解。该项目将开发张量数据挖掘方法，为从多源异质数据集中提取有用知识提供新的基础。这将有助于加速下一代数据驱动科学的发现。