@article{(Open Science Index):https://publications.waset.org/pdf/4575,
	  title     = {Dataset Analysis Using Membership-Deviation Graph},
	  author    = {Itgel Bayarsaikhan and  Jimin Lee and  Sejong Oh},
	  country	= {},
	  institution	= {},
	  abstract     = {Classification is one of the primary themes in
computational biology. The accuracy of classification strongly
depends on quality of a dataset, and we need some method to
evaluate this quality. In this paper, we propose a new graphical
analysis method using 'Membership-Deviation Graph (MDG)' for
analyzing quality of a dataset. MDG represents degree of
membership and deviations for instances of a class in the dataset. The
result of MDG analysis is used for understanding specific feature and
for selecting best feature for classification.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {7},
	  year      = {2010},
	  pages     = {1184 - 1187},
	  ee        = {https://publications.waset.org/pdf/4575},
	  url   	= {https://publications.waset.org/vol/43},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 43, 2010},
	}