Time Series Classification for Complex Dynamic Global Problems

复杂动态全局问题的时间序列分类

• 批准号: DP210100072
• 负责人: Prof Geoffrey Webb
• 金额: $ 28.69万
• 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: 2021-12-16 至 2024-03-29
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP210100072
• 关键词: Time; Series; Classification; Complex; Dynamic

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.

该项目旨在通过创造分析长期收集的大量数据的新方法，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应用程序不可知的方式大大提高对全球数万亿地球观测数据点的时变数据的理解。研究成果将推动时间序列数据分析的理论和实践，并将改变复杂动力学分析。这将支持工业、商业、政府和研究的创新，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10亿美元。