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A Real-time Interactive Data Mining and Visualization System Using Parallel Computing
Wei Song1; Dong Wu1; Raymond Wong3; Simon Fong2; Kyungeun Cho4
2016-01-13
Conference Name2015 Tenth International Conference on Digital Information Management (ICDIM)
Source PublicationThe 10th International Conference on Digital Information Management, ICDIM 2015
Pages10-13
Conference Date21-23 Oct. 2015
Conference PlaceJeju, South Korea
PublisherIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Abstract

As color and geometry representations are easily recognized by human's brain, data visualization technologies provide data mining results with natural and intuitive operation interfaces. Currently, data mining users always plot 2D and 3D diagrams using the traditional data visualization tools. However, it is difficult to visualize big data in real time using these tools. To enhance the visualization quality, this paper proposes a real-time data mining and visualization system for big data. We apply a graphic processing unit (GPU) programming technology to enhance the data mining algorithms and visualization methods in parallel. For unified development environment supports, we utilize a TCP/IP to deliver datasets between different data mining platforms and databases. In the visualization client, this system provides two human computer interaction methods, including a graphics user interface (GUI) and a natural user interface (NUI). To verify the efficacy of our proposed system, we integrated it with an NUI engine, the WinSocket API and the DirectX.

KeywordData Mining Information Visualization Natural User Interface Parallel Computing
DOIhttps://doi.org/10.1109/ICDIM.2015.7381890
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000380508100041
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Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Dept. Digital Media Technology, North China University of Technology Beijing, China
2.Dept. Computer and Information Science, University of Macau Macau, China
3.School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia
4.Dept. Multimedia Engineering, Dongguk University Seoul, Korea
Recommended Citation
GB/T 7714
Wei Song,Dong Wu,Raymond Wong,et al. A Real-time Interactive Data Mining and Visualization System Using Parallel Computing[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA,2016:10-13.
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