Numerical Result Analysis of Document Classification for Large Data Sets

Author

Sahu, Samir Kant ; Sahu, Nilkanta ; Thakur, R.S. ; Thakur, Gautam S.

Author_Institution

M.G.C.G.V.V., Satna, India

fYear

2013

fDate

6-8 April 2013

Firstpage

646

Lastpage

653

Abstract

This paper presents new approach Numerical Result Analysis of Classification Based Unique Visitor for Social Networking. The proposed Numerical Result Analysis of Classification Based Unique Visitor for Social Networking are based on Unique Visitor. In this paper we have used Numerical Result Analysis for Document Classification results. The steps Document collection, Text Pre-processing, Feature Selection, Indexing, classification Process and Results Analysis are used. Twenty News group data sets [4] are used in the Experiments. The experimental results are evaluated using the numerical computing MATLAB 7.14 Software. The Experimental Results show the proposed approach better performs.

Keywords

data analysis; indexing; pattern classification; text analysis; Document collection; MATLAB 7.14 software; classification based unique visitor; classification process; data set; document classification; feature selection; indexing; numerical computing; numerical result analysis; social networking; text preprocessing; Accuracy; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Partitioning algorithms; Social network services; Text analysis; Classification technique; Distance; K-Nearest Neighbor; accuracy;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Systems and Network Technologies (CSNT), 2013 International Conference on

Conference_Location

Gwalior

Print_ISBN

978-1-4673-5603-9

Type

conf

DOI

10.1109/CSNT.2013.138

Filename

6524481