Web Access Research Portal

Researcher: Zhao, Z (Dr Zongyuan Zhao)

Fields of Research

Neural, Evolutionary and Fuzzy Computation

Research Objectives

Information Processing Services (incl. Data Entry and Capture)

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 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