Martin Drlik

Journals

• Munk, M., Drlík, M., Benko, Ľ., Reichel, J. (2017). Quantitative and Qualitative Evaluation of Sequence Patterns Found by Application of Different Educational Data Preprocessing Techniques. IEEE Access. Access-2017-02629, IF = 1.270, SJR = 0.95
• Drlík, M., Švec, P., Kapusta, J., Munk, M. et al. (2017). Identification of Differences in University E-environment between Selected EU and Non-EU Countries Using Knowledge Mining Methods: Project IRNet Case Study. Int. Journal of Web-based Communities. Inderscience. DOI: 10.1504/IJWBC.2017.10004116.
• Noskova, T., Pavlova, T., Yakovleva, O., Morze, N., Drlík, M. (2016). Quality features of university information environment in its external indicators. International Journal of Continuing Engineering Education and Life-Long Learning, 26 (2), pp. 196-216.
• Kapusta, J., Munk, M., Drlik, M. (2015). Identification of Underestimated and Overestimated Web Pages Using Page Rank and Web Usage Mining Methods. Lecture Notes in Computer Science, TRANSACTIONS ON COMPUTATIONAL COLLECTIVE INTELLIGENCE XVIII, pp. 127-146.
• Munk, M., Drlík, M. (2014). Analysis of stakeholders' behaviour depending on time in virtual learning environment. Applied Mathematics and Information Sciences, 8 (2), pp. 773-785. 2013IF: 1,232
• Drlik, M., Pilkova, A., Munk, M., Švec, P. (2013). Modelling of domestic and foreign visitors' behaviour at commercial bank website during the recent financial crisis. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 61 (7), pp. 2065-2070.
• Munk, M., Drlík, M., Kapusta, J., Munková, D. (2013). Methodology design for data preparation in the process of discovering patterns of web users behaviour. Applied Mathematics and Information Sciences, 7 (1 L), pp. 27-36. 2013IF: 1,232
• Munk, M., Pilkova, A., Kapusta, J., Svec, P., Drlik, M. (2013). Pillar 3 and modelling of stakeholders' behaviour at the commercial bank website during the recent financial crisis. Procedia Computer Science, 18, pp. 1747-1756.
• Munk, M., Pilková, A., Drlík, M., Kapusta, J., Švec, P. (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, 60 (2), pp. 217-222.
• Drlik, M., Skalka, J. (2011). Virtual faculty development using top-down implementation strategy and adapted ees model. Procedia - Social and Behavioral Sciences, 28, pp. 616-621.
• Munk, M., Drlík, M. (2011). Impact of different pre-processing tasks on effective identification of users' behavioral patterns in web-based educational system. Procedia Computer Science, 4, pp. 1640-1649.
• Drlík, M., Munk, M., Skalka, J. (2011). Usage analysis of system for theses acquisition and plagiarism detection. Procedia Computer Science, 3, pp. 866-871.
• Hvorecký, J., Drlík, M., Munk, M. (2010). The effect of visual query languages on the improvement of information retrieval skills. Procedia - Social and Behavioral Sciences, 2 (2), pp. 717-723.

Books

• Švec, P. Drlík, M. Munk, M., Noskova, T., Pavlova, T., Yakovleva, O. (2017). Analysis of University e-Environment in Selected European Countries – IRNet Case Study. In Sustainability, Green IT and Education Strategies in the 21st Century. Springer. ISBN: 978-3-319-57068-6
• Munk, M., Drlík, M. (2016). Methodology of Predictive Modeling of Students' Behavior in Virtual Learning EnvironmentIn Formative Assessment, Learning Data Analytics and Gamification: In ICT Education, Elsevier, Academic Press, pp. 187-216.
• Drlik, M., Svec, P., Kapusta, J., Mesarosova, M. (2013). Moodle Kompletní průvodce tvorbou a správou elektronických kurzů. Computer Press. pp. 344. (in Czech)
• Rábová, I., Drlík, M. (2013). Podnikové informačné systémy, ich architektúra a vývoj. 1. vyd. Nitra : UKF. 165 s. ISBN 978-80-558-0287-9. (in Slovak)
• Skalka, J., Drlík, M., Kapusta, J. (2013). Implementácia e-learningu v univerzitnom prostredí. 1. vyd. Nitra : UKF. 82 s. ISBN 978-80-558-0298-5 (In Slovak)

Conference Proceedings

• Cápay, M., Skalka, J. Drlík, M. (2017). Computer Science Learning Activities Based on Experience, 2017. In The IEEE Global Engineering Education Conference (EDUCON) 2017 : Conference Proceedings. Athens. IEEE. 2017. ISBN 978-1-5090-5466-4.
• Kapusta, J., Munk, M., Drlik, M. (2015). Experimental verification of the dependence between the expected and observed visit rate of web pages Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9227, pp. 637-648.
• Kapusta, J., Munk, M., Drlík, M. (2015). Identification of underestimated and overestimated web pages using pagerank and web usage mining methods. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9240, art. no. A7, pp. 127-146.
• Kapusta, J., Munk, M., Drlík, M. (2014). Analysis of differences between expected and observed probability of accesses to web pages. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8733, pp. 673-683.
• Drlik, M., Svec, P., Skalka, J. (2014). Comparison of Approaches to the Data Analysis in the Virtual Learning Environments. 10th International Scientific Conference on Distance Learning in Applied Informatics (DIVAI), pp. 561-572.
• Skalka, J., Drlik, M., Svec, P. (2013). Knowledge discovery from university information systems for purposes of quality assurance implementation. IEEE Global Engineering Education Conference, EDUCON, art. no. 6530165, pp. 591-596.
• Kapusta, J., Munk, M., Drlík, M. (2012). Cut-off time calculation for user session identification by reference length. 2012 6th International Conference on Application of Information and Communication Technologies, AICT 2012 - Proceedings, art. no. 6398500.
• Skalka, J., Drlik, M., Švec, P. (2012). E-learning courses quality evaluation framework as part of quality assurance in higher education. 15th International Conference on Interactive Collaborative Learning, ICL 2012, art. no. 6402173.
• Kapusta, J., Munk, M., Drlik, M. (2012). E-learning and Quality: The Quality Evaluation Model for E-learning Courses. 9th International Scientific Conference on Distance Learning in Applied Informatics (DIVAI), pp. 279-287.
• Skalka, J., Svec, P., Drlik, M. (2012). User Session Identification Using Reference Length. 9th International Scientific Conference on Distance Learning in Applied Informatics (DIVAI), pp. 175-184.
• Munk, M., Drlik, M., Vrábelová, M. (2011). Probability modelling of accesses to the course activities in the web-based educational system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6786 LNCS (PART 5), pp. 485-499.
• Munk, M., Drlik, M. (2011). Influence of different session timeouts thresholds on results of sequence rule analysis in educational data mining. Communications in Computer and Information Science, 166 CCIS (PART 1), pp. 60-74.
• Hvorecký, J., Drlík, M., Munk, M. (2010). Enhancing database querying skills by choosing a more appropriate interface. 2010 IEEE Education Engineering Conference, EDUCON 2010, art. no. 5492434, pp. 1897-1905.