Discovery Projects - Grant ID: DP210100072

发现项目 - 拨款 ID：DP210100072

• 批准号: ARC : DP210100072
• 负责人: Eamonn Keogh
• 金额: $ 40.8万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/discovery-projects-grant-id-dp210100072/1782594
• 关键词: Discovery; Projects; Grant; ID; DP210100072

Time Series Classification for Complex Dynamic Global Problems. This project aims to increase understanding of complex dynamic processes by creating new ways of analysing large quantities of data collected over time. These new approaches will be specifically designed to greatly improve the understanding obtained from time varying data for trillions of global earth observation data points in an application-agnostic way that is applicable to many tasks. The outcomes are expected to advance the theory and practice of time-series data analysis and transform the analysis of complex dynamics. This should support innovation in industry, commerce, government and research and magnify benefit from many data investments including the $1 billion Australian governments invest annually in satellite imaging.

复杂动态全局问题的时间序列分类。该项目旨在通过创建分析随时间推移收集的大量数据的新方法来增进对复杂动态过程的理解。这些新方法将专门设计用于以适用于许多任务的与应用程序无关的方式极大地提高从数万亿个全球地球观测数据点的时变数据中获得的理解。研究结果预计将推进时间序列数据分析的理论和实践，并改变复杂动态的分析。这将支持工业、商业、政府和研究领域的创新，并扩大许多数据投资的效益，包括澳大利亚政府每年在卫星成像方面投资的 10 亿美元。