DocumentCode
2771805
Title
Utility of Mining Algorithms in Blogs Searching Efficiency
Author
Bhadoria, Robin Singh ; Arya, Premnarayan ; Dixit, Manish
fYear
2011
fDate
7-9 Oct. 2011
Firstpage
750
Lastpage
753
Abstract
The aim of this paper is focus discovering frequent patterns in Web log data and to obtain information about the navigational behavior of the users. Frequent pattern mining is researched area in the area of data mining. Using frequent pattern discovery methods in Web log data can result into good practices. Discovering hidden information from Web log data is called Web usage mining. The use of advertising purposes in creating dynamic user profiles etc. In this paper three pattern mining approaches are investigated from the Web usage mining point of view. The different patterns in Web log mining are page sets, page sequences and page graphs.
Keywords
Web sites; data mining; Web log data; Web usage mining; blog searching efficiency; frequent pattern discovery; frequent pattern mining; mining algorithm; page graph pattern; page sequence pattern; page set pattern; user navigational behavior; Blogs; Clustering algorithms; Navigation; Partitioning algorithms; USA Councils; Web mining; Graph Mining; Pattern mining; Sequence mining; Web log mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Communication Networks (CICN), 2011 International Conference on
Conference_Location
Gwalior
Print_ISBN
978-1-4577-2033-8
Type
conf
DOI
10.1109/CICN.2011.166
Filename
6112971
Link To Document