DocumentCode :
228650
Title :
A new contrive to evaluate web page ranking
Author :
Chaudhary, Reena ; Bhusry, Mamta
Author_Institution :
Ajay Kumar Garg Eng. Coll., Ghaziabad, India
fYear :
2014
fDate :
13-14 Feb. 2014
Firstpage :
1
Lastpage :
6
Abstract :
Web mining or web structure mining, an important application of data mining, is used to handle the complex and diverse data available on the web in the form of structured, semi structured and even unstructured forms. Web mining is applied to extract useful data from the data available on the web which can be further used in many applications. An important application of web mining is the ranking of web pages based on the structure, content and usage. Many algorithms exist for web page ranking and these algorithms are based upon one or more parameters such as forward links, backward links, contents and distance. The efficiency of an algorithm may be based upon the parameters that are applied to determine the ranking of the page. A new algorithm is proposed that determines the page rank based upon multiple parameters and a comparative analysis between the existing and proposed algorithms shows that the proposed algorithm gives better results keeping in view the complexity and execution time of the algorithms.
Keywords :
Web sites; data mining; search engines; Web data extraction; Web mining; Web page ranking; algorithm execution time; Classification algorithms; DWPR; Distance Rank; HITS; Page Rank; Web Link Analysis; Weighted Page Rank;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and Communication Systems (ICECS), 2014 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-2321-2
Type :
conf
DOI :
10.1109/ECS.2014.6892717
Filename :
6892717
Link To Document :
بازگشت