Structure Search Over Large Scale Heterogeneous Information Networks

大规模异构信息网络的结构搜索

• 批准号: DP200101338
• 负责人: Prof Xuemin Lin
• 金额: $ 18.02万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-01-01 至 2022-05-04
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP200101338
• 关键词: Structure; Search; Over; Large; Scale

Structure search on heterogeneous information networks (HINs) has many applications including cybersecurity, crime detection, social media, marketing recommendation, and public health. The project aims to develop novel techniques for efficiently conducting structure search on large scale HINs and lay the scientific foundations. The anticipated outcomes include novel computing paradigms, algorithms, indexing, incremental computation, and distributed solutions. The success of the project will directly contribute to the scientific foundation of Big Data computation. It will also contribute to the development of local industry involving cybersecurity, social media-based recommendation, network management, knowledge graphs, and E-business.

异构信息网络（HIN）上的结构搜索具有许多应用，包括网络安全、犯罪检测、社交媒体、营销推荐和公共卫生。该项目旨在开发新技术，以有效地进行大规模HIN的结构搜索，并奠定科学基础。预期的成果包括新的计算范式，算法，索引，增量计算和分布式解决方案。该项目的成功将直接有助于大数据计算的科学基础。它还将有助于当地行业的发展，涉及网络安全，基于社交媒体的推荐，网络管理，知识图谱和电子商务。