eCite Digital Repository

Author: Zhao, Z (Dr Zongyuan Zhao)

Number of items: 12

Journal Article
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, A new multiple seeds based genetic algorithm for discovering a set of interesting Boolean association rules, Expert Systems With Applications, 74 pp. 55-69. ISSN 0957-4174 (2017) [Refereed Article] 
Zhao, Z and Xu, S and Kang, BH and Kabir, MMJ and Liu, Y and Wasinger, R, Investigation and improvement of multi-layer perceptron neural networks for credit scoring, Expert Systems With Applications, 42, (7) pp. 3508-3516. ISSN 0957-4174 (2015) [Refereed Article] 
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, 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, 14, (10) pp. 27-35. ISSN 1738-7906 (2014) [Refereed Article] 
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, Association rule mining for both frequent and infrequent items using particle swarm optimization algorithm, International Journal on Computer Science and Engineering, 6, (7) pp. 221-231. ISSN 0975-3397 (2014) [Refereed Article] 
Zhao, Z and Xu, S and Kang, BH and Kabir, MMJ and Liu, Y, Investigation of multilayer perceptron and class imbalance problems for credit rating, International Journal of Computer and Information Technology, 3, (4) pp. 805-812. ISSN 2279-0764 (2014) [Refereed Article]
Chapter in Book
Zhao, Z and Xu, S and Kang, BH and Kabir, MMJ and Liu, Y and Wasinger, R, Utilizing Feature Selection on Higher Order Neural Networks, Applied Artificial Higher Order Neural Networks for Control and Recognition, Information Science Reference, M Zhang (ed), Hershey PA, USA, pp. 375-390. ISBN 9781522500636 (2016) [Research Book Chapter] 
Conference Publication
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, Multiple seeds based evolutionary algorithm for mining Boolean association rules, Proceedings from the Trends and Applications in Knowledge Discovery and Data Mining (PAKDD 2016 Workshops), 19 April 2016, Auckland, New Zealand, pp. 61-72. ISBN 9783319429953 (2016) [Refereed Conference Paper]
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, A new evolutionary algorithm for extracting a reduced set of interesting association rules, Neural Information Processing 22nd International Conference, ICONIP 2015, Proceedings, Part II, 09-12 November 2015, Istanbul, Turkey, pp. 133-142. ISBN 978-3-319-26534-6 (2015) [Refereed Conference Paper]
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, Comparative analysis of genetic based approach and apriori algorithm for mining maximal frequent item sets, Proceedings of the 2015 IEEE Congress on Evolutionary Computation, 25-28 May 2015, Sendai, Japan, pp. 39-45. ISBN 978-1-4799-7492-4 (2015) [Refereed Conference Paper]
Kabir, MMJ and Xu, S and Kang, BH and Zhao, Z, Discovery of interesting association rules using genetic algorithm with adaptive mutation, Neural Information Processing 22nd International Conference, ICONIP 2015, Proceedings, Part II, 09-12 November 2015, Istanbul, Turkey, pp. 96-105. ISBN 978-3-319-26534-6 (2015) [Refereed Conference Paper]
Kabir, M and Xu, S and Kang, BH and Zhao, Z, A novel approach to mining maximal frequent itemsets based on genetic algorithm, Proceedings of the 9th International Conference on Information Technology and Applications, 1-4 July 2014, Sydney, Australia, pp. 1-6. ISBN 978-0-9803267-6-5 (2014) [Refereed Conference Paper] 
Zhao, Z and Xu, S and Kang, BH and Kabir, M and Liu, Y, Instance selection and optimization of neural networks, Proceedings of the 9th International Conference on Information Technology and Applications, 1-4 July 2014, Sydney, Australia, pp. 1-6. ISBN 978-0-9803267-6-5 (2014) [Refereed Conference Paper] 

This list was generated on Fri Nov 24 14:50:59 2017.