Page ranking algorithms used in Web Mining

Author

Sangeetha, M. ; Joseph, K. Suresh

Author_Institution

Dept. of Comput. Sci., Pondicherry Univ., Pondicherry, India

fYear

2014

fDate

27-28 Feb. 2014

Firstpage

1

Lastpage

7

Abstract

The world wide web is expanding, everyday huge amount of data is added to the web. Finding relevant information in the web is becoming a difficult task. Web Mining is the process of analysing and mining the web to find useful information. By web mining we extract information that are implicitly present in the web. Web Mining is classified into Web Content Mining (WCM), Web Structure Mining (WSM), Web Usage Mining (WUM) based on the type of data mined. Web Structure Mining analyses the structure of the web considering it as a graph. WSM can be used to rank pages present in the web, to improve the efficiency of search engines. This paper discusses about Web Mining, its types, and various ranking algorithms used in Web structure Mining.

Keywords

Internet; data mining; information retrieval; WCM; WSM; WUM; Web analysis; Web content mining; Web structure mining; Web usage mining; data mining; page ranking algorithm; search engines; Algorithm design and analysis; Classification algorithms; Educational institutions; Web mining; Web pages; Ranking Algorithms; Web Mining; Web Structure Mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Communication and Embedded Systems (ICICES), 2014 International Conference on

Conference_Location

Chennai

Print_ISBN

978-1-4799-3835-3

Type

conf

DOI

10.1109/ICICES.2014.7033794

Filename

7033794