Application of Extension Neural Network for Classification with Incomplete Survey Data

  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)},
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

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
3 Extracted Citations
12 Extracted References
Similar Papers

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 12 references

The extension set and incompatibility problem

  • W Cai
  • Journal of Scientific Exploration,
  • 1983
Highly Influential
3 Excerpts

N,Component-based data mining frameworks

  • F Berzal, I Blanco, J Cubero, Marin
  • Communications of the ACM,45(12):
  • 2002
1 Excerpt

Managerial application of neural network: the case of bank failure

  • KY Tam, NY Kiang
  • predictions, management Sciences,
  • 1992
1 Excerpt

Neural networks : a new tool for predicting thrift failures

  • M SalchenbergerL., EM Cinar, NA Lash
  • Decision Sciences
  • 1992

Neural networks: a new tool for predicting thrift failures, Decision Sciences

  • L. M Salchenberger, EM Cinar, NA Lash
  • 1992
1 Excerpt

Similar Papers

Loading similar papers…