Devising tools for big data sets to support computational movement analysis

设计大数据集工具以支持计算运动分析

• 批准号: DP180102870
• 负责人: Prof Joachim Gudmundsson
• 金额: $ 25.38万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-06-04 至 2024-06-03
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP180102870
• 关键词: Devising; tools; big; data; sets

This project aims to devise practical fundamental algorithms and multi-purpose data structures with performance guarantees for big spatio-temporal data sets. Systematic analysis of trajectory data has been occurring since the 1950s, but with the recent technological advances the size of the data sets has recently soared. Existing computational tools were developed for small to mid-size data sets. This project aims to devise practical fundamental algorithms that will enable the development of domain specific tools for a wide range of applications, including sports, behavioural ecology, transport, and surveillance.

本项目旨在为大型时空数据集设计实用的基础算法和具有性能保证的多用途数据结构。自20世纪50年代以来，就开始对轨迹数据进行系统分析，但随着最近技术的进步，数据集的规模最近飙升。现有的计算工具是为中小型数据集开发的。该项目旨在设计实用的基本算法，从而能够开发用于广泛应用的特定领域工具，包括体育、行为生态学、交通和监视。