Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/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.},
  {International Journal of Computer and Information Engineering },  volume    = {4},
  number    = {7},
  year      = {2010},
  pages     = {1184 - 1187},
  ee        = {http://waset.org/publications/4575},
  url       = {http://waset.org/Publications?p=43},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 43, 2010},
}