@article{ART002298200},
author={jodaseol and KIM JUNWOO},
title={Development of Intelligent Personal Color Diagnosis System by Applying Data Mining Techniques},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2017},
volume={12},
number={6},
pages={805-815},
doi={10.34163/jkits.2017.12.6.002}
TY - JOUR
AU - jodaseol
AU - KIM JUNWOO
TI - Development of Intelligent Personal Color Diagnosis System by Applying Data Mining Techniques
JO - Journal of Knowledge Information Technology and Systems
PY - 2017
VL - 12
IS - 6
PB - Korea Knowledge Information Technology Society
SP - 805
EP - 815
SN - 1975-7700
AB - In recent, there is a rising interest on self-presentation based on personal color, a color that matches an individuals’ physical attributes, with an increased emphasis on individuals’ personalities. Nevertheless, it is inconvenient for the individuals to determine their own personal colors accurately, since conventional personal color diagnosis procedures highly depends on various instruments and subjective judgment. In order to address this problem, this paper aims to develop an intelligent personal color diagnosis system that allows the individuals to identify their personal colors by themselves. The proposed system maintains the face images of celebrities with known personal colors, and the personal color of an user is determined by applying the diagnosis model based on the personal color data of celebrities. In this paper, the diagnosis model for the proposed system is constructed by applying the conventional classification techniques such as decision tree, nearest neighbor classifier and naive Bayesian classifier to the face image data of 100 celebrities, and the consequent model is applied to 20 female undergraduates with known personal color identified through visiting professional consultants. The experiment results demonstrate that the proposed system has the promising diagnosis ability so that it can replace the human experts. Moreover, it is expected that the system not only allows the individuals to identify their personal color conveniently, but also enables advanced services based on personal color.
KW - Personal color;Face image;Data mining;Classification;Intelligent system
DO - 10.34163/jkits.2017.12.6.002
ER -
jodaseol and KIM JUNWOO. (2017). Development of Intelligent Personal Color Diagnosis System by Applying Data Mining Techniques. Journal of Knowledge Information Technology and Systems, 12(6), 805-815.
jodaseol and KIM JUNWOO. 2017, "Development of Intelligent Personal Color Diagnosis System by Applying Data Mining Techniques", Journal of Knowledge Information Technology and Systems, vol.12, no.6 pp.805-815. Available from: doi:10.34163/jkits.2017.12.6.002
jodaseol, KIM JUNWOO "Development of Intelligent Personal Color Diagnosis System by Applying Data Mining Techniques" Journal of Knowledge Information Technology and Systems 12.6 pp.805-815 (2017) : 805.
jodaseol, KIM JUNWOO. Development of Intelligent Personal Color Diagnosis System by Applying Data Mining Techniques. 2017; 12(6), 805-815. Available from: doi:10.34163/jkits.2017.12.6.002
jodaseol and KIM JUNWOO. "Development of Intelligent Personal Color Diagnosis System by Applying Data Mining Techniques" Journal of Knowledge Information Technology and Systems 12, no.6 (2017) : 805-815.doi: 10.34163/jkits.2017.12.6.002
jodaseol; KIM JUNWOO. Development of Intelligent Personal Color Diagnosis System by Applying Data Mining Techniques. Journal of Knowledge Information Technology and Systems, 12(6), 805-815. doi: 10.34163/jkits.2017.12.6.002
jodaseol; KIM JUNWOO. Development of Intelligent Personal Color Diagnosis System by Applying Data Mining Techniques. Journal of Knowledge Information Technology and Systems. 2017; 12(6) 805-815. doi: 10.34163/jkits.2017.12.6.002
jodaseol, KIM JUNWOO. Development of Intelligent Personal Color Diagnosis System by Applying Data Mining Techniques. 2017; 12(6), 805-815. Available from: doi:10.34163/jkits.2017.12.6.002
jodaseol and KIM JUNWOO. "Development of Intelligent Personal Color Diagnosis System by Applying Data Mining Techniques" Journal of Knowledge Information Technology and Systems 12, no.6 (2017) : 805-815.doi: 10.34163/jkits.2017.12.6.002
