International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 122 - Issue 22 |
Published: July 2015 |
Authors: Monika, Rajender Singh Chhillar |
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Monika, Rajender Singh Chhillar . Study of K-NN Evaluation for Text Categorization using Multiple Level Learning. International Journal of Computer Applications. 122, 22 (July 2015), 9-12. DOI=10.5120/21855-5151
@article{ 10.5120/21855-5151, author = { Monika,Rajender Singh Chhillar }, title = { Study of K-NN Evaluation for Text Categorization using Multiple Level Learning }, journal = { International Journal of Computer Applications }, year = { 2015 }, volume = { 122 }, number = { 22 }, pages = { 9-12 }, doi = { 10.5120/21855-5151 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2015 %A Monika %A Rajender Singh Chhillar %T Study of K-NN Evaluation for Text Categorization using Multiple Level Learning%T %J International Journal of Computer Applications %V 122 %N 22 %P 9-12 %R 10.5120/21855-5151 %I Foundation of Computer Science (FCS), NY, USA
Predefined category exists for text categorization. In a document, text may be of any type category like government, education or health etc. many methods exist in market invented by researchers for text categorization. One of them is k-NN (k nearest neighbor) algorithm. k play a role to define number of classes for categorization. A training set is generated for each type of category to check its performance than whole text categorized. There is a problem of missing information during training sets. After study recent years invention on k-NN, we find out a solution of this problem. Multiple-Level Learning will improve the performance of k-NN. So in this paper we study about k-NN and propose hybrid algorithm with combination of Multiple-Level Learning and k-NN.