Genetic Programming for Big Data Analytics

大数据分析的基因编程

• 批准号: DE210101808
• 负责人: Prof Amirhossein Gandomi
• 金额: $ 27.83万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-05-24 至 2024-05-23
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE210101808
• 关键词: Genetic; Programming; Big; Data; Analytics

The project aims to extend a powerful machine learning method, called genetic programming and also developing a new concept called Alpha program, for big data analytics. This project expects to generate a new approach by finding a systematic approach to develop gene structures using information theory. By borrowing the best genes from the population of programs, the Alpha program concept will be developed for the first time. The proposed approach aims to enhance genetic programming for many practical problems. I contend that not only finding better tools for big data analytics is in the best interest of machine learning and big data communities, it also provides significant benefits for other communities and industries in Australia.

该项目旨在扩展一种强大的机器学习方法，称为遗传编程，并开发一种名为Alpha程序的新概念，用于大数据分析。该项目希望通过找到一种系统的方法来开发基因结构，利用信息论产生一种新的方法。通过从程序群体中借用最好的基因，阿尔法程序的概念将首次得到发展。所提出的方法旨在提高遗传规划的许多实际问题。我认为，寻找更好的大数据分析工具不仅符合机器学习和大数据社区的最佳利益，也为澳大利亚的其他社区和行业带来了巨大的利益。