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Review on Web Content Mining Techniques

by Shipra Saini, Hari Mohan Pandey
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 18
Year of Publication: 2015
Authors: Shipra Saini, Hari Mohan Pandey
10.5120/20848-3536

Shipra Saini, Hari Mohan Pandey . Review on Web Content Mining Techniques. International Journal of Computer Applications. 118, 18 ( May 2015), 33-36. DOI=10.5120/20848-3536

@article{ 10.5120/20848-3536,
author = { Shipra Saini, Hari Mohan Pandey },
title = { Review on Web Content Mining Techniques },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 18 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 33-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number18/20848-3536/ },
doi = { 10.5120/20848-3536 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:02:05.630600+05:30
%A Shipra Saini
%A Hari Mohan Pandey
%T Review on Web Content Mining Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 18
%P 33-36
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Web data processing is the method of handling high volume of data. Previous research explains that handling/processing such data is not easy. Therefore, researchers utilize web mining, deals with identifying patterns, which user require. The second phase of web mining is known as web content mining, which dealt mining of pictures, text and graphs etc. The primary purpose of web content mining is to identify the relevance of content according to the queries. The focus of this paper is to present a detailed and comprehensive review of various methods applied for web mining/web content mining. The paper is divided into three parts to discuss, web content mining, web structure mining and web usage mining. Later, we presented application of these approaches for structured, unstructured, semi-structured and multimedia data mining techniques. The underlined motivation is to explore new possibilities in improving the existing techniques and identifying new ways/methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Web content mining structured data mining unstructured data mining semi-structured data mining.

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