PhD Scholarship in Genetic Programming for Data Mining Tasks, Victoria University of Wellington, New Zealand
Genetic Programming and Evolutionary Computing research group
Background
The Genetic Programming and Evolutionary Computing research group at Victoria University of Wellington was recently awarded a large research grant in Genetic Programming (GP) for data mining tasks by the Marsden Fund of New Zealand (similar to the National Science Foundation in USA). We are looking for a good PhD student in this field. The grant will provide full funding for the student to cover the tuition fees, living allowance, and travel cost.
The Project
Data mining tasks arise in a wide variety of practical situations, ranging from classification to regression, clustering, and optimization tasks. Since the 1990s, genetic programming (GP) has become a promising approach to building reliable data mining models quickly and automatically. GP uses ideas analogous to biological evolution to search the space of possible models to evolve a good solution for a particular task. GP has been applied to many data mining tasks and achieved some success. However, there are still limitations in program structures, representations, genetic operators, search algorithms and theoretical foundations in GP that restrict GP for difficult data mining tasks.
