Dr. Simon Fong
Associate Professor
Department of Computer and Information Science
University of Macau
Av. Padre Tomas Pereira, Taipa, Macau SAR


Enhancing Data Mining by Bio-inspired Optimization Algorithms

Modern Bio-inspired computing and metaheuristics algorithms (BiCam) such as PSO, Fireflies, Ants, Bats and Bees algorithms etc. start to demonstrate their power in dealing with tough optimization problems and even NP-hard problems. The research momentum is picking up recently as optimal solutions for combinatorial optimization are possible to be sought by Metaheuristics. The research introduced in this Keynote speech is about a new BiCam algorithm which can outperform the current ones, as well as modifying from some important existing BiCam algorithms for applying in data mining applications; so as to produce optimal solutions in the most efficient way. The benefits offered by BiCam algorithms complement very well the limitations of data mining because data mining models usually face multidimensional combinatorial problems which are typically NP-hard, with very large search space including about finding global optima and overcoming local optima. Data mining models are well known to be prone to suffer from the curse of dimensionality, which also makes them infeasible for exhaustive search or complex analytical methods. Three case studies will be described in this talk: possible integration of BiCam algorithms into some classical data mining algorithms — namely (1) Data Clustering; (2) Feature Selection in Classification, and (3) Highly Non-linear Regression. At the end of the talk, sample source codes will be provided for free, for fellow researchers to apply the integrated bio-inspired optimization and data mining algorithms to application problems of your own choice.

Dr. Simon Fong graduated from La Trobe University, Australia, with a 1st Class Honours BEng. Computer Systems degree and a PhD. Computer Science degree in 1993 and 1998 respectively. Simon is now working as an Associate Professor at the Computer and Information Science Department of the University of Macau. He is also one of the founding members of the Data Analytics and Collaborative Computing Research Group in the Faculty of Science and Technology. Prior to joining the University of Macau, he worked as an Assistant Professor in the School of Computer Engineering, Nanyang Technological University, Singapore. Prior to his academic career, Simon took up various managerial and technical posts, such as systems engineer, IT consultant and e-commerce director in Melbourne, Hong Kong and Singapore. Some companies that he worked before include Hong Kong Telecom, Singapore Network Services, AES Pro-Data and United Oversea Bank, Singapore. Dr. Fong has published over 220 international conference and journal papers, mostly in the area of E-Commerce technology, Business Intelligence and Data-mining.

Dr Rita Yi Man Li


Sustainable Development Research Center

Hong Kong Shue Yan University



Is there any consensus on the causes of construction accidents? A critical review on digital information in academic journal database
Construction accidents happen around the World every year. Construction companies around the globe spent a huge sum of expenditure for compensation on sites. The injured workers suffer from loss of earning, working capacity and grief. As implementation of construction safety measures and relevant regulations require the knowledge of construction accident causes, this research study aims at reviewing the digital information available in academic journal database about the construction accidents with the help of information technology tools.
(co-authored with Dr Sun Wah Poon and Dr Chi Wing Ho)