Home > World Of Academic > Public lecture series on Data Mining and Grid Computing by A/Prof. Xue Li

Public lecture series on Data Mining and Grid Computing by A/Prof. Xue Li

Insya  Alloh minggu depan tepatnya Senin, Selasa (19 – 20 Des 2011) akan diselenggarakan public lecture membahas tentang  Grid/Cloud Computing dan Data Mining di Kampus Depok.  pemateri untuk public lecture kali ini adalah Prof. Xue Li dari School of ITEE The University of Queensland, Australia dan Prof. Heru Suhartanto (UI). Informasi ini saya dapatkan dari milis internal SCELE, detail summary dan waktu penyelenggaraan sebagai berikut;

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

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

Grid computing including the computational grids and data grids provides an infrastructure for the resource sharing, coordinated and interactive problem solving across multi-institutional 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 http://www.itee.uq.edu.au/~xueli.

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