A Fast Document Classification Algorithm Based on Improved KNN

Beijing, China August 30-September 01

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http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.381

First International Conference on Inn ...

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	Ge Guo, Xijian Ping, Gang Chen, "A Fast Document Classification Algorithm Based on Improved KNN," Innovative Computing ,Information and Control, International Conference on, vol. 3, pp. 186-189, First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06), 2006.

	BibTex	x
	@article{ 10.1109/ICICIC.2006.381, author = {Ge Guo and Xijian Ping and Gang Chen}, title = {A Fast Document Classification Algorithm Based on Improved KNN}, journal ={Innovative Computing ,Information and Control, International Conference on}, volume = {3}, year = {2006}, isbn = {0-7695-2616-0}, pages = {186-189}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.381}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Innovative Computing ,Information and Control, International Conference on TI - A Fast Document Classification Algorithm Based on Improved KNN SN - 0-7695-2616-0 SP186 EP189 A1 - Ge Guo, A1 - Xijian Ping, A1 - Gang Chen, PY - 2006 KW - null VL - 3 JA - Innovative Computing ,Information and Control, International Conference on ER -

Ge Guo, Zhengzhou Information Science and Technology Institute, P.R. China

Xijian Ping, Zhengzhou Information Science and Technology Institute, P.R. China

Gang Chen, Zhengzhou Information Science and Technology Institute, P.R. China

A novel KNN classification algorithm combining model and evidence theory is proposed in this paper. The new method not only overcomes the main shortage of lazy learning in traditional KNN, but also takes the distances between samples to be recognized and samples in k-neighbors into account. At the same time the method resolves the unrecognizable cases of unknown samples. Applying the classification algorithm into the document recognition, experimental results show its satisfied recognition rate and fast categorization speed.

Citation:

Ge Guo, Xijian Ping, Gang Chen, "A Fast Document Classification Algorithm Based on Improved KNN," icicic, vol. 3, pp.186-189, First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06), 2006

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