ICIS 2011, August 16-18, 2011, Busan, Korea
4th International Conference on Interaction Sciences: IT, Human and Digital Content.

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Invited/ Keynote Speeches


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Simon Fong, Ph. D.


            
Young Moo Kang, Ph. D.



Title : High-speed Data Stream Mining Techniques for Intelligent Applications

Speaker: Simon Fong, Ph. D.
University of Macau, Assistant Professor of Computer and Information Science Department, Macau

Abstract

Intelligent application is characterized by its ability to make decision autonomously. Some examples are distributed agents that collaboratively complete a complex task, yet each one of them is able to work and reason independently given the dynamic situation where they are in. The underlying think tank is often a collection of core mechanisms that include environment sensing, data capturing, data mining, ETL, knowledge processing, and decision making etc. All these techniques when placed and function together as a whole intelligent system, they will have to fulfill stringent deadlines imposed by the requirements of a real-time system. In the literature many research papers can be found on a wide variety of data mining techniques that enable intelligent applications operating in real-time. In this talk, Dr. Fong provides a critical review of the relevant literature, identifies their shortcomings which are so-called the technical gaps between the real-time requirements of a general intelligent system and the supporting components. A discussion follows on the possibilities of future intelligent applications that are empowered by data stream mining. In particular, a new technique that has been recently invented by Dr. FongĄ¯s research group called Optimal Very Fast Decision Tree (OVFDT) will be introduced. OVFDT can outperform other VFDT techniques in terms of prediction accuracy and memory requirement.

Short Bio

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 Assistant 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. Before 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 130 international conference and journal papers, mostly in the area of E-Commerce technology, Business Intelligence and Data-mining.

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