Navigation pattern discovery on Web site based on the distance between sequences

Author

Liu, Peiqian ; Li, Wei

Author_Institution

Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China

fYear

2011

fDate

8-10 Aug. 2011

Firstpage

2200

Lastpage

2202

Abstract

Web usage Mining is an application of data mining algorithm to Web logs to find trends and regularities in Web user´s navigation patterns. The results of Web Usage Mining have been used to improve Web site design, and Web server system performance. In this article, an improved Ward´s method is proposed for web user clustering. In the proposed method, distance between elements is a no-Euclidean distance measure. Experiments show that the proposed algorithm clustering web users effectively compared with the association measure.

Keywords

Web sites; data mining; pattern clustering; Ward method; Web log; Web server system performance; Web site design; Web usage mining; Web user clustering; Web user navigation pattern; data mining; navigation pattern discovery; no-Euclidean distance measure; Clustering algorithms; Clustering methods; Data mining; Databases; Euclidean distance; Satellite broadcasting; Web servers; Clustering; Web Usage Mining; no-Euclidean distance; the ward´s method;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on

Conference_Location

Deng Leng

Print_ISBN

978-1-4577-0535-9

Type

conf

DOI

10.1109/AIMSEC.2011.6010969

Filename

6010969