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Reseach Article

Study of K-NN Evaluation for Text Categorization using Multiple Level Learning

by Monika, Rajender Singh Chhillar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 22
Year of Publication: 2015
Authors: Monika, Rajender Singh Chhillar

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 },
issue_date = { July 2015 },
volume = { 122 },
number = { 22 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 9-12 },
numpages = {9},
url = { },
doi = { 10.5120/21855-5151 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T23:11:12.750482+05:30
%A Monika
%A Rajender Singh Chhillar
%T Study of K-NN Evaluation for Text Categorization using Multiple Level Learning
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 22
%P 9-12
%D 2015
%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.

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Index Terms

Computer Science
Information Sciences


Data Mining Text Classification k-NN algorithm Multiple-Level Learning