TY - GEN
T1 - A real-time interactive data mining and visualization system using parallel computing
AU - Song, Wei
AU - Wu, Dong
AU - Wong, Raymond
AU - Fong, Simon
AU - Cho, Kyungeun
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/1/13
Y1 - 2016/1/13
N2 - 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.
AB - 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.
KW - Data mining
KW - Information visualization
KW - Natural user interface
KW - Parallel computing
UR - https://www.scopus.com/pages/publications/84964909538
U2 - 10.1109/ICDIM.2015.7381890
DO - 10.1109/ICDIM.2015.7381890
M3 - Conference contribution
AN - SCOPUS:84964909538
T3 - The 10th International Conference on Digital Information Management, ICDIM 2015
SP - 10
EP - 13
BT - The 10th International Conference on Digital Information Management, ICDIM 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Digital Information Management, ICDIM 2015
Y2 - 21 October 2015 through 23 October 2015
ER -