Node color assignement for decision tree structure

J.J. Lee; S.G. Kim; B.S. Lee; N. Ejaz; J.Y. Choeh; C.W. Lee; M.H. Lee; S.W. Baik

Node color assignement for decision tree structure

J.J. Lee
, S.G. Kim
, B.S. Lee
, N. Ejaz
, J.Y. Choeh
, C.W. Lee
, M.H. Lee
, S.W. Baik

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a novel method to assign color information to nodes of a decision tree using YUV color model. Decision trees for data classification are easy to understand and interpret as compared to the results of other data mining methods. However, new representations of decision trees are required as their forms become more complicated when multivariate and massive data sets are processed. The main contribution of this paper is to develop a new YUV based color coordinate system and a node color assignment algorithm for new visualization approaches that can substitute decision tree styled presentation.

Original language	English
Title of host publication	Proc. of the IADIS Int. Conf. Computer Graphics, Visualization, Computer Vision and Image Processing 2011, Part of the IADIS Multi Conf. on Computer Science and Information Systems 2011, MCCSIS 2011
Pages	276-280
Number of pages	5
Publication status	Published (in print/issue) - 2011

Cite this

Lee, J. J., Kim, S. G., Lee, B. S., Ejaz, N., Choeh, J. Y., Lee, C. W., Lee, M. H., & Baik, S. W. (2011). Node color assignement for decision tree structure. In Proc. of the IADIS Int. Conf. Computer Graphics, Visualization, Computer Vision and Image Processing 2011, Part of the IADIS Multi Conf. on Computer Science and Information Systems 2011, MCCSIS 2011 (pp. 276-280)

@inproceedings{4bd5ef569fcd4b9ba2ff10ce4b419602,

title = "Node color assignement for decision tree structure",

abstract = "This paper presents a novel method to assign color information to nodes of a decision tree using YUV color model. Decision trees for data classification are easy to understand and interpret as compared to the results of other data mining methods. However, new representations of decision trees are required as their forms become more complicated when multivariate and massive data sets are processed. The main contribution of this paper is to develop a new YUV based color coordinate system and a node color assignment algorithm for new visualization approaches that can substitute decision tree styled presentation.",

author = "J.J. Lee and S.G. Kim and B.S. Lee and N. Ejaz and J.Y. Choeh and C.W. Lee and M.H. Lee and S.W. Baik",

year = "2011",

language = "English",

isbn = "978-972893948-9",

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Node color assignement for decision tree structure. / Lee, J.J.; Kim, S.G.; Lee, B.S. et al.
Proc. of the IADIS Int. Conf. Computer Graphics, Visualization, Computer Vision and Image Processing 2011, Part of the IADIS Multi Conf. on Computer Science and Information Systems 2011, MCCSIS 2011. 2011. p. 276-280.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Node color assignement for decision tree structure

AU - Lee, J.J.

AU - Kim, S.G.

AU - Lee, B.S.

AU - Ejaz, N.

AU - Choeh, J.Y.

AU - Lee, C.W.

AU - Lee, M.H.

AU - Baik, S.W.

PY - 2011

Y1 - 2011

N2 - This paper presents a novel method to assign color information to nodes of a decision tree using YUV color model. Decision trees for data classification are easy to understand and interpret as compared to the results of other data mining methods. However, new representations of decision trees are required as their forms become more complicated when multivariate and massive data sets are processed. The main contribution of this paper is to develop a new YUV based color coordinate system and a node color assignment algorithm for new visualization approaches that can substitute decision tree styled presentation.

AB - This paper presents a novel method to assign color information to nodes of a decision tree using YUV color model. Decision trees for data classification are easy to understand and interpret as compared to the results of other data mining methods. However, new representations of decision trees are required as their forms become more complicated when multivariate and massive data sets are processed. The main contribution of this paper is to develop a new YUV based color coordinate system and a node color assignment algorithm for new visualization approaches that can substitute decision tree styled presentation.

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M3 - Conference contribution

SN - 978-972893948-9

SP - 276

EP - 280

BT - Proc. of the IADIS Int. Conf. Computer Graphics, Visualization, Computer Vision and Image Processing 2011, Part of the IADIS Multi Conf. on Computer Science and Information Systems 2011, MCCSIS 2011

ER -

Node color assignement for decision tree structure

Abstract

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