Application of Extension Neural Network for Classification with Incomplete Survey Data

@article{Lu2006ApplicationOE,
  title={Application of Extension Neural Network for Classification with Incomplete Survey Data},
  author={Chao Lu and Xue-Wei Li and Hong-Bo Pan},
  journal={First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06)},
  year={2006},
  volume={3},
  pages={190-193}
}
Classification is an important theme in data mining, but classification with incomplete survey data is a new subject. Standard neural networks and other techniques reported in the literature do not address the problem of incomplete survey data. So, this paper proposes a novel extension neural network based model of classification for incomplete survey data. The extension neural network is a combination of extension theory and neural network. It uses an extension distance to measure the… CONTINUE READING

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