A technical study on Information Retrieval using web mining techniques

Author

Srinaganya, G. ; Sathiaseelan, J.G.R.

Author_Institution

Dept. of Comput. Sci., Bishop Heber Coll., Trichy, India

fYear

2015

fDate

19-20 March 2015

Firstpage

1

Lastpage

5

Abstract

Information Retrieval (IR) is a significant area in web mining where the users procure their needed information from the web. The documents in the web are in the form of web pages. As there is a high usage of data in the web, researchers are intended to do research in the field of IR. Web query classification and web page classification are leading major role to classify the web documents in IR using classification algorithms, based on the user query. The classified documents are indexed using ranking algorithm. This research paper aims to study about various methods of IR to classify and index the relevant web pages respectively.

Keywords

Internet; data mining; pattern classification; query processing; IR; Web page classification; Web query classification; information retrieval; ranking algorithm; user query; web mining technique; Algorithm design and analysis; Classification algorithms; Computational modeling; Measurement; Support vector machines; Web pages; Information Retrieval; Ranking algorithms; Web mining; Web page classification; Web query classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-6817-6

Type

conf

DOI

10.1109/ICIIECS.2015.7192894

Filename

7192894