Web Mining: Methodologies, Algorithms and Applications
Bussa V.R.R.Nagarjuna1, Akula Ratna babu2, Miriyala Markandeyulu3, A.S.K.Ratnam4
1Bussa V.R.R.Nagarjuna, M.Tech (CSE) Vignan’s Lara Institute Of Technology And Science.Vadlamudi,Guntur,AP.,India.
2Akula Ratnababu, M.Tech (CSE) Vignan’s Lara Institute Of Technology And Science.Vadlamudi,Guntur,AP.,India.
3Miriyala Markandeyulu, M.Tech (CSE) Vignan’s Lara Institute Of Technology And Science.Vadlamudi,Guntur,AP.,India.
4A.S.K.Ratnam,Head,Dept.of Computer Sceince Engineering Vignan’s Lara Institute Of Technology And Science.Vadlamudi,Guntur,AP.,India.
Manuscript received on July 01, 2012. | Revised Manuscript received on July 04, 2012. | Manuscript published on July 05, 2012. | PP: 164-167 | Volume-2, Issue-3, July 2012. | Retrieval Number: C0737052312 /2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The World Wide Web is a popular and interactive medium to disseminate information today. It is a system of interlinked hypertext documents accessed via the Internet. With a web browser, one can view web pages that may contain text, images, videos, and other multimedia, and navigate between them via hyperlinks. With the recent explosive growth of the amount of content on the Internet, it has become increasingly difficult for users to find and utilize information and for content providers to classify and catalog documents on the World Wide Web. Traditional web search engines often return hundreds or thousands of results for a search, which is time consuming for users to browse. On-line libraries, search engines, and other large document repositories (e.g. customer support databases, product specification databases, press release archives, news story archives, etc.) are growing so rapidly that it is difficult and costly to categorize every document manually. To deal with these problems web mining is used. Web mining is the use of data mining techniques to automatically discover and extract information from the web documents and services. This paper presents an overview of web mining, its methodologies, algorithms and applications.
Keywords: Data mining, Methodologies, Web mining, World Wide Web.