Discovery Early Career Researcher Award - Grant ID: DE210101808

Funded Activity Summary

Genetic Programming for 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.

Funded Activity Details

Start Date: 24-05-2021

End Date: 23-05-2024

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $395,775.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Neural, Evolutionary and Fuzzy Computation | Pattern Recognition and Data Mining | Data Structures | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Mathematical Sciences | Expanding Knowledge in Technology |

Other Keywords

Artificial Intelligence and Image Processing | Data Structures | Expanding Knowledge in Technology | Expanding Knowledge in the Information and Computing Sciences | Expanding Knowledge in the Mathematical Sciences | Neural, Evolutionary and Fuzzy Computation | Pattern Recognition and Data Mining

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