Acta Univ. Agric. Silvic. Mendelianae Brun. 2012, 60, 217-222

https://doi.org/10.11118/actaun201260020217
Published online 2013-10-03

Verification of the fulfilment of the purposes of Basel II, Pillar 3 through application of the web log mining methods

M. Munk, A. Pilková, Martin Drlík, J. Kapusta, P. Švec

Katedra informatiky, Fakulta prírodných vied, Univerzita Konštantína Filozofa v Nitre, Tr. A. Hlinku 1, 949 74 Nitra, Slovenská republika

References

1. Basel III. A Global Regulatory Framework for More Resilient Banks and Banking Systems, 2010: Basel Committee for Banking Supervision [cit. 2011-11-02]. Cited from http://www.bis.org/publ/bcbs189.htm.
2. BERENDT, B. and SPILIOPOULOU, M., 2000: Analysis of Navigation Behaviour in Web Sites Integrating Multiple Information Systems. The VLDB Journal, 2000, Vol. 9, No. 1, pp. 56–75. ISSN 1066-8888. <https://doi.org/10.1007/s007780050083>
3. BING, L., 2006: Web Data Mining. Exploring Hyperlinks, Contents and Usage Data. Springer, ISBN 13-978-3-540-37881-5.
4. COOLEY, R., MOBASHER, B. and SRIVASTAVA J., 1999: Data Preparation for Mining World Wide Web Browsing Patterns. Knowledge and Information System, 1999, Springer-Verlag, Vol. 1, ISSN 0219-1377.
5. Directive 2006/48/EC, 2006. Directive 2006/48/EC of the European Parliament and of the Council of 14 June 2006. [cit. 2011-11-02]. Cited from: http://ec.europa.eu/internal_market/bank/regcapital/index_en.htm.
6. DOMENECH, J. M. and LORENZO, J., 2007: A Tool for Web Usage Mining. In: 8th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL.
7. Group of Governors and Heads of Supervision announces higher global minimum capital standards. 2010: Basel Committee for Banking Supervision. [cit. 2011-11-02]. Cited from http://www.bis.org/press/p100912.htm. Press release.
8. CHEN, M., PARK, J. S. and YU, P. S., 1996: Data Mining for Path Traversal Patterns in a Web Environment. In: ICDCS, pp. 385–392. ISBN 0-8186-7398-2.
9. CHITRAA, V. and DAVAMANI, A. S., 2010: A Survey on Preprocessing Methods for Web Usage Data. International Journal of Computer Science and Information Security, Vol. 7, Issue 3.
10. LIU, B. 2007: Web data mining: Exploring hyperlinks, contents and usage data. Springer, ISBN 978-3-540-37881-5.
11. LOURENāO, A. G. and BELO, O. O., 2006: Catching Web Crawlers in the Act. In: Proceedings of the 6th international Conference on Web Engineering, ICWE ‘06, Vol. 263, ACM, New York, NY, pp. 265–272. ISBN 1-59593-352-2.
12. MUNK, M. and DRLÍK, M., 2011: Influence of Different Session Timeouts Thresholds on Results of Sequence Rule Analysis in Educational Data Mining. In: Digital Information and Communication Technology and Its Applications. Springer Berlin Heidelberg, 2011, Vol. 166, p. 60–74. <https://doi.org/10.1007/978-3-642-21984-9_6>
13. MUNK, M. and DRLÍK, M., 2011: Impact of Different Pre-Processing Tasks on Effective Identification of Users’ Behavioral Patterns in Web-based Educational System. In: International Conference on Computational Science 2011, ICCS 2011, Procedia Computer Science, Elsevier.
14. MUNK, M., DRLÍK, M. and VRÁBELOVÁ, M., 2011: Probability Modelling of Accesses to the Course Activities in the Web-based Educational System. In: International Conference on Computational Science and its Applications 2011, ICCSA 2011, Lecture Notes in Computer Science, Springer, 2011.
15. MUNK, M., KAPUSTA, J. and ŠVEC, P., 2010: Data Preprocessing Evaluation for Web Log Mining: Reconstruction of Activities of a Web Visitor. Procedia Computer Science, 2010, Vol. 1, No. 1. pp. 2267–2274. <https://doi.org/10.1016/j.procs.2010.04.255>
16. MUNK, M., KAPUSTA, J., ŠVEC, P. and TURČÁNI, M., 2010: Data Advance Preparation Factors Affecting Results of Sequence Rule Analysis in Web Log Mining. E a M: Ekonomie a Management, 2010, Vol. 13, No. 4, p. 143–160.
17. MUNK, M., VRÁBELOVÁ, M. and KAPUSTA, J., 2010: Probability Modelling of Accesses to the Web Parts of Portal. WCIT 2010, Procedia Computer Science, Elsevier, Vol. 3, 2011, 677–683.
18. ROMERO, C., VENTURA, S., ZAFRA, A. and de BRA, P., 2009: Applying Web Usage Mining for Personalizing Hyperlinks in Web-based Adaptive Educational Systems. Computers & Education.
19. SPILIOPOULOU, M. and FAULSTICH, L. C., 1999: WUM: A Tool for Web Utilization Analysis. In: Extended version of Proc. EDBT Workshop WebDB’98, 1999, Springer Verlag, pp. 184–203.
20. TAUCHER, L. and GREENBERG, S., 1997: Revisitation Patterns in World Wide Web Navigation. In: Proc. of Int. Conf. CHI’97, 1997, Atlanta.
21. W3C, 1995: Configuration File of W3C httpd. [cit. 2011-11-02]. Cited from: http://www.w3.org/Daemon/User/Config/Logging.html.
22. ZAIANE, O. and HAN, J., 1998: WebML: Querying the World-Wide Web For Resources and Knowledge. In: Workshop on Web Information and Data Management. 1998. p. 9–12.
front cover

ISSN 1211-8516 (Print)

ISSN 2464-8310 (Online)

Current issue

Review Management System NEW Indexed in DOAJ

Archive