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Visualization Support for Data Mining
October 1996 (vol. 11 no. 5)
pp. 69-75
ASCII Text
x 
 
Hing-Yan Lee, Hwee-Leng Ong, "Visualization Support for Data Mining," IEEE Intelligent Systems, vol. 11, no. 5, pp. 69-75, October, 1996.
 
 
BibTex
x
 
@article{ 10.1109/64.539019,
author = {Hing-Yan Lee and Hwee-Leng Ong},
title = {Visualization Support for Data Mining},
journal ={IEEE Intelligent Systems},
volume = {11},
number = {5},
issn = {0885-9000},
year = {1996},
pages = {69-75},
doi = {http://doi.ieeecomputersociety.org/10.1109/64.539019},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - Visualization Support for Data Mining
IS - 5
SN - 0885-9000
SP69
EP75
EPD - 69-75
A1 - Hing-Yan Lee,
A1 - Hwee-Leng Ong,
PY - 1996
VL - 11
JA - IEEE Intelligent Systems
ER -
 

WinViz uses parallel coordinates, a computational geometry method, to let users visually formulate queries and analyze results. When integrated with machine-learning algorithms, WinViz provides a powerful tool for data mining.

Citation:
Hing-Yan Lee, Hwee-Leng Ong, "Visualization Support for Data Mining," IEEE Intelligent Systems, vol. 11, no. 5, pp. 69-75, Oct. 1996, doi:10.1109/64.539019
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