Web Usage Analysis of Pillar 3 Disclosed Information by Deposit Customers in Turbulent Times

This chapter aims at providing an overview about the use of statistical methods supporting the Web Usage Mining. Within the first part is described the framework of the Web Usage Mining as a branch of the Web Mining committed to the study of how to use a Website. Then, the data (object of the analysis) are detailed together with the problems linked to the pre-processing. Once clarified, the data origin and their treatment for a correct development of a Web Usage analysis,the focus shifts on the statistical techniques that can be applied to the analysis background, with reference to binary segmentation methods. Those latter allow the discrimination through a response variable that determines the affiliation of the users to a group by considering some characteristics detected on the same users.

Download Full-text

From Web usage statistics to Web usage analysis

IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028) ◽

10.1109/icsmc.1999.825226 ◽

2003 ◽

Cited By ~ 1

Author(s):

G. Paliouras ◽

C. Papatheodorou ◽

V. Karkaletsis ◽

C. Spyropoulos ◽

P. Tzitziras

Keyword(s):

Web Usage ◽

Usage Analysis

Download Full-text

Web Usage Analysis and Web Bot Detection based on Outlier Detection

International Journal of Engineering Research and ◽

10.17577/ijertv4is070064 ◽

2015 ◽

Vol V4 (07) ◽

Author(s):

Respa Peter ◽

Divya D ◽

Keyword(s):

Outlier Detection ◽

Web Usage ◽

Bot Detection ◽

Usage Analysis

Download Full-text

Advances in Web Mining and Web Usage Analysis

10.1007/11899402 ◽

2006 ◽

Cited By ~ 2

Keyword(s):

Web Mining ◽

Web Usage ◽

Usage Analysis

Download Full-text

Advances in Web Mining and Web Usage Analysis

10.1007/11891321 ◽

2006 ◽

Cited By ~ 2

Keyword(s):

Web Mining ◽

Web Usage ◽

Usage Analysis

Download Full-text

Web Usage Analysis and User Profiling

10.1007/3-540-44934-5 ◽

2000 ◽

Cited By ~ 6

Keyword(s):

User Profiling ◽

Web Usage ◽

Usage Analysis

Download Full-text

Web Usage Mining

International Journal of Technology Diffusion ◽

10.4018/jtd.2012070101 ◽

2012 ◽

Vol 3 (3) ◽

pp. 1-12 ◽

Cited By ~ 3

Author(s):

Moiz Uddin Ahmed ◽

Amjad Mahmood

Keyword(s):

Web Sites ◽

Web Mining ◽

Design Development ◽

Web Usage ◽

Distant Learning ◽

Research Areas ◽

Usage Patterns ◽

Usage Analysis ◽

The University ◽

The Web

The technological revolutions have opened up new ways of information and communication. The Internet is growing as a vital source of information in this modern era of technology. The ever increasing volume of information through WWW is creating complexity in the design, development and deployment of WWW. It has become important for the organizations to analyze the usage of their web sites. The web usage analysis may help the organizations not only to monitor the load on their websites and cater for the needs of their potential clients but also enhance their web services and restructure the organization to better serve their clients. Web mining has emerged as important research areas used to discover information which can be utilized for improvement of websites. Allama Iqbal Open University (AIOU) is one of the largest open and distant university of the world. Due to unique philosophy of open and distant learning, AIOU has been providing useful information online through its website. It is an active website which is flooded with huge flow of information. This paper presents web usage analysis of AIOU website and provides statistical analysis of the usage patterns. It presents how the results were used not only to enhance the web contents and services but also discusses how these results helped the university to allocate and reallocate its resources. The reallocation was used to improve efficiency and processes of the university in order to better serve its clients.

Download Full-text