The Economic Benefts of Web Mining

Author

Kinzel, David ; Klettke, Micah ; Uppal, Paul ; Visram, Naheed ; Kianmehr, Keivan ; Alhajj, Reda ; Rokne, Jon

Author_Institution

Dept of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada

fYear

2009

fDate

20-22 July 2009

Firstpage

25

Lastpage

32

Abstract

In this paper, we investigate and explore the process of analyzing log data of website visitor traffic in order to assist the owner of a website in understanding the behavior of its visitors. The developed approach involves the review of statistical data on the types of visitors that come to the website, as well as the steps they take to reach and satisfy the goal of their visit. The value added from the analysis of this data provides eCommerce and commercial website owners with the information needed to display targeted advertisements or messages to their customers. In the long run, this is expected to allow for the increase in sales and overall customer loyalty.

Keywords

Internet; consumer behaviour; data analysis; data mining; electronic commerce; customer behaviour; ecommerce; log data analysis; web mining; website visitor traffic; Algorithm design and analysis; Computer science; Data analysis; Data mining; Electronic commerce; Information analysis; Marketing and sales; Portals; Social network services; Web mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Social Network Analysis and Mining, 2009. ASONAM '09. International Conference on Advances in

Conference_Location

Athens

Print_ISBN

978-0-7695-3689-7

Type

conf

DOI

10.1109/ASONAM.2009.77

Filename

5231946