Web Access Research Portal

Researcher: Zhao, Z (Dr Zongyuan Zhao)

Fields of Research

Neural networks
Human information interaction and retrieval

Research Objectives

Information systems, technologies and services
Expanding knowledge in the information and computing sciences

Career Best Publications

Research Publications

A hybrid GeneticMax algorithm for improving the traditional genetic based approach for mining maximal frequent item sets; International Journal of Computer Science and Network Security
A New approach to utilize augmented reality on precision livestock farming; 27th International Conference on Artificial Reality and Telexistence; 22nd Eurographics Symposium on Virtual Environments
A new evolutionary algorithm for extracting a reduced set of interesting association rules; 22nd International Conference, ICONIP 2015 - Neural Information Processing
A new multiple seeds based genetic algorithm for discovering a set of interesting Boolean association rules; Expert Systems With Applications
A novel approach to mining maximal frequent itemsets based on genetic algorithm; 9th International Conference on Information Technology and Applications
Association rule mining for both frequent and infrequent items using particle swarm optimization algorithm; International Journal on Computer Science and Engineering
Comparative analysis of genetic based approach and apriori algorithm for mining maximal frequent item sets; 2015 IEEE Congress on Evolutionary Computation
Discovery of interesting association rules using genetic algorithm with adaptive mutation; 22nd International Conference, ICONIP 2015 - Neural Information Processing
Instance selection and optimization of neural networks; 9th International Conference on Information Technology and Applications
Investigation and improvement of multi-layer perceptron neural networks for credit scoring; Expert Systems With Applications
Investigation of multilayer perceptron and class imbalance problems for credit rating; International Journal of Computer and Information Technology
Multiple seeds based evolutionary algorithm for mining Boolean association rules; Trends and Applications in Knowledge Discovery and Data Mining Workshops (PAKDD 2016)
Utilizing Feature Selection on Higher Order Neural Networks; Applied Artificial Higher Order Neural Networks for Control and Recognition

Research Projects

Research Candidate Supervision