Genetic Programming for Big Data Analytics

该项目旨在扩展一种名为遗传编程的强大机器学习方法，并开发一种名为Alpha程序的新概念，用于大数据分析。本项目希望通过寻找一种系统的方法来利用信息理论来开发基因结构，从而产生一种新的方法。通过从程序种群中借用最好的基因，Alpha程序概念将首次得到发展。提出的方法旨在提高遗传规划在许多实际问题中的应用。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，而且还为澳大利亚的其他社区和行业提供了重大利益。

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.