Pillar 3-Pre-processed web server log file dataset of the banking institution

Michal Munk; Anna Pilkova; Ľubomír Benko; Petra Blazekova; Peter Svec

doi:10.1016/j.dib.2021.107672

Pillar 3-Pre-processed web server log file dataset of the banking institution

Data Brief. 2021 Dec 3:39:107672. doi: 10.1016/j.dib.2021.107672. eCollection 2021 Dec.

Authors

Michal Munk¹, Anna Pilkova², Ľubomír Benko¹, Petra Blazekova², Peter Svec¹

Affiliations

¹ Constantine the Philosopher University in Nitra, Slovakia.
² Comenius University in Bratislava, Slovakia.

Abstract

The dataset presented in this article represents the pre-processed web server log file of the commercial bank. The source of data is the web server of the bank and keeps access of web users starting the year 2009 till 2012. It contains accesses to the bank website during and after the financial crisis. Unnecessary data saved by the web server was removed to keep the focus only on the textual content of the website. Many variables were added to the original log file to make the analysis workable. To keep the privacy of website users, sensitive information in the log file were anonymized. The dataset offers a way to understand the behavior of stakeholders during and after the crisis and how they comply with the Basel regulations. The behavior of users can be modeled using the multinomial logit model, which is in detail described in the research article [1] related to this data article.

Keywords: Basel II; Data modeling; Multinomial Logit model; Pillar 3; Web usage mining.