Public Lecture Series on
Data Mining and Grid Computing:
Fundamentals, current issues and future challenges
By A/Prof Xue Li
School of ITEE
The University of Queensland, Australia
Data Mining - Part A : Thursday 15 December 2011, 13.00 – 15.00
Data Mining - Part B: Friday, 16 December 2011, 13.30 – 15.30
Grid Computing - Part A: Monday, 19 December 2011, 13.00 – 15.00
Grid Computing - Part B: Tuesday, 20 December 2011, 13.00 – 15.00
Venue: ruang Rapat Besar, Gedung A, Fasilkom UI, Depok
Data Mining
By A/Prof Xue Li
The University of Queensland, Australia
Abstract
The knowledge of data mining involves three aspects: data, algorithm, and application
domain. Data is the first-class citizen in data mining research. Understanding data is always
critical: their structures, high dimensionality, and their qualification and quantification issues.
The second important aspect of data mining is about algorithms: their effectiveness,
efficiency, scalability, and their applicability in discovering different patterns of associations,
correlations, clustering, sequential patterns, and classifications. Amongst a variety of
applicable algorithms, to select a right one for dealing with a specific problem is always a
challenging question that requires data mining research community contributions. The third
important aspect is on domain knowledge of applications. Without a good understanding of
domain knowledge, data mining process is hardly able to avoid GIGO (Garbage In and
Garbage Out) effect.This public lecture is to introduce the fundamentals of data mining
techniques, the current progress, and future challenges in data mining researches.
Grid Computing
By A/Prof Xue Li
The University of Queensland, Australia
Abstract
Grid computing including the computational grids and data grids provides an infrastructure
for the resource sharing, coordinated and interactive problem solving across multiinstitutional domains in a secure context. Examples can be found in large and collaborative
researches in science and technology:a biologist can exploit thousands of computers to
analyze DNA and Gene Mapping; Space craft engineers can work together in a shared cyber
space to mount a large collaboration in design, simulation, and instrumentation of a space
project. This public lecture is to introduce the basic concepts of grid computing, its examples,
the research and development issues, and its current challenges in the integration with the
cloud computing.
About Dr. Xue Li
Dr Xue Li is an Associate Professor in the School of Information Technology and Electrical
Engineering at the University of Queensland (UQ) in Brisbane Australia. His research
interests include Data Mining, Intelligent Business Applications, and Web Information
Systems. He has more than 100 research articles published in ACM, IEEE journals and
International conferences, book chapters. Dr Li was an Editor on Board, (2004-2007) of
International Journal of Information Systems and Management & Technology, Elsevier,
Guest Editor for three issues of the journals: Journal of Global Information Management
(JGIM), International Journal of Data Warehouse and Mining (IJDWM), and International
Journal of Systems Science (IJSS). Dr Li is the founder and Steering Committee Chair of a
Southeast Asian International Conference on Advanced Data Mining and Applications
(ADMA). More details about him can be found on www.itee.uq.edu.au/~xueli.