Author
Listed:
- M. Munk
(Katedra informatiky, Fakulta prírodných vied, Univerzita Konštantína Filozofa v Nitre, Tr. A. Hlinku 1, 949 74 Nitra, Slovenská republika)
- A. Pilková
(Katedra informatiky, Fakulta prírodných vied, Univerzita Konštantína Filozofa v Nitre, Tr. A. Hlinku 1, 949 74 Nitra, Slovenská republika)
- Martin Drlík
(Katedra informatiky, Fakulta prírodných vied, Univerzita Konštantína Filozofa v Nitre, Tr. A. Hlinku 1, 949 74 Nitra, Slovenská republika)
- J. Kapusta
(Katedra informatiky, Fakulta prírodných vied, Univerzita Konštantína Filozofa v Nitre, Tr. A. Hlinku 1, 949 74 Nitra, Slovenská republika)
- P. Švec
(Katedra informatiky, Fakulta prírodných vied, Univerzita Konštantína Filozofa v Nitre, Tr. A. Hlinku 1, 949 74 Nitra, Slovenská republika)
Abstract
The objective of the paper is the verification of the fulfilment of the purposes of Basel II, Pillar 3 - market discipline during the recent financial crisis. The objective of the paper is to describe the current state of the working out of the project that is focused on the analysis of the market participants' interest in mandatory disclosure of financial information by a commercial bank by means of advanced methods of web log mining. The output of the realized project will be the verification of the assumptions related to the purposes of Basel III by means of the web mining methods, the recommendations for possible reduction of mandatory disclosure of information under Basel II and III, the proposal of the methodology for data preparation for web log mining in this application domain and the generalised procedure for users' behaviour modelling dependent on time. The schedule of the project has been divided into three phases. The paper deals with its first phase that is focusing on the data pre-processing, analysis and evaluation of the required information under Basel II, Pillar 3 since 2008 and its disclosure into the web site of a commercial bank. The authors introduce the methodologies for data preparation and known heuristic methods for path completion into web log files with respect to the particularity of investigated application domain. They propose scientific methods for modelling users' behaviour of the webpages related to Pillar 3 with respect to time.
Suggested Citation
M. Munk & A. Pilková & Martin Drlík & J. Kapusta & P. Švec, 2012.
"Verification of the fulfilment of the purposes of Basel II, Pillar 3 through application of the web log mining methods,"
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 60(2), pages 217-222.
Handle:
RePEc:mup:actaun:actaun_2012060020217
DOI: 10.11118/actaun201260020217
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