Keynote Speakers

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Dr. Simon Fong
Department of Computer and Information Science
University of Macau
Av. Padre Tomas Pereira, Taipa, Macau SAR
http://www.cis.umac.mo/~ccfong

Title:
Enhancing Data Mining by Bio-inspired Optimization Algorithms

Abstract:
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.

Bio:
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.

Prof. Dr. Hanmin Jung
Korea Institute of Science and Technology Information (KISTI)
Korea

Title: Applying Prescriptive Analytics to Strengthen Research Capabilities

Abstract
Leveraging Research Capabilities with Prescriptive Analytics Explosively increased data and very fast technical/social movements require a completely new analytics paradigm that is able to predict and to cope with future as well as past and present. Prescriptive analytics shows fundamental difference with descriptive analytics and predictive analytics [1,2] in that it requires high-value alternative actions or decisions to achieve a given goal. Thus, this talk introduces a trigger research on this technical area by providing requirements and factors for implementing the analytics with the case of InSciTe Advisory for improving research performance. We introduce 5W1H (when, where, what, who(m), and how) method for InSciTe Advisory to build actionable strategies to reach a given goal. We showed a reasonable performance in usefulness and reliability with the five representative services; Activity history, Researcher power Index, Role model, Prescription, and Auto-generated Report.


Biography
Hanmin Jung works as the head of the Dept. of Computer Intelligence Research and chief researcher at Korea Institute of Science and Technology Information (KISTI), Korea since 2004. He received his M.S. and Ph.D. degrees in Computer Science and Engineering from POSTECH, Korea in 1994 and 2003. Previously, he was a senior researcher at Electronics and Telecommunications Research Institute (ETRI), Korea, and worked as CTO at DiQuest Inc., Korea. Now, he is also adjunct professor of University of Science & Technology (UST), Korea, executive director of Korea Contents Association, director of several associations, and committee member of ISO/IEC JTC1/SC32. His current research interests include decision making systems based on Semantic Web and Bid Data, text mining technologies, human-computer interaction (HCI), and natural language processing (NLP). For these research areas, over 350 papers and 300 patents have been published and created.