Locality sensitive hashing for big data

大数据的局部敏感哈希

• 批准号: DP170103710
• 负责人: Prof Wei Wang
• 金额: $ 22.84万
• 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: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-02-01 至 2020-11-12
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP170103710
• 关键词: Locality; sensitive; hashing; big; data

This project aims to solve problems to applying locality sensitive hashing (LSH) to Big Data, namely handling new similarity functions, large data volume and better efficiency. LSH is one of the most widely adopted methods for answering similarity queries, and used widely in computer science. The project is expected to provide frontier technology to applications to combat crimes in the cybersecurity space, and lead to more intelligent and real-time analysis of Big Data.

该项目旨在解决将局部敏感哈希（LSH）应用于大数据的问题，即处理新的相似性函数，大数据量和更好的效率。LSH是一种最广泛采用的相似性查询方法，在计算机科学中得到了广泛的应用。该项目预计将为打击网络安全领域犯罪的应用提供前沿技术，并带来更智能和实时的大数据分析。