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Reseach Article

Efficient Technique for Web Image Mining

Published on March 2014 by Praveen Kumar, Md. T. U. Haider
International Conference on Advances in Computer Engineering and Applications
Foundation of Computer Science USA
ICACEA - Number 1
March 2014
Authors: Praveen Kumar, Md. T. U. Haider
6c4799f0-f40a-47f9-8976-0f7902e86899

Praveen Kumar, Md. T. U. Haider . Efficient Technique for Web Image Mining. International Conference on Advances in Computer Engineering and Applications. ICACEA, 1 (March 2014), 12-14.

@article{
author = { Praveen Kumar, Md. T. U. Haider },
title = { Efficient Technique for Web Image Mining },
journal = { International Conference on Advances in Computer Engineering and Applications },
issue_date = { March 2014 },
volume = { ICACEA },
number = { 1 },
month = { March },
year = { 2014 },
issn = 0975-8887,
pages = { 12-14 },
numpages = 3,
url = { /proceedings/icacea/number1/15609-1423/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Computer Engineering and Applications
%A Praveen Kumar
%A Md. T. U. Haider
%T Efficient Technique for Web Image Mining
%J International Conference on Advances in Computer Engineering and Applications
%@ 0975-8887
%V ICACEA
%N 1
%P 12-14
%D 2014
%I International Journal of Computer Applications
Abstract

Web image mining is a growing area in present environment. It defines for the use of web image mining techniques on web to find the hidden information which is present in the image as text. In this paper a literature survey has been proposed on web image mining. Web image mining is a technique of searching ,retrieving and accessing the data from an image, There are two type of web image mining techniques i. e. Text based web image mining and image based web image mining. The objective of this paper is to present tools and technique which are used in past and current evaluation. We will show a summarize report for overall development in web image mining.

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Index Terms

Computer Science
Information Sciences

Keywords

Web Image Mining Accountability Image Retrieval Data Mining.