Title :
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
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;
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2013 International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4673-5603-9
DOI :
10.1109/CSNT.2013.138