Data preprocessing evaluation for web log mining: reconstruction of activities of a web visitor M Munk, J Kapusta, P Švec Procedia Computer Science 1 (1), 2273-2280, 2010 | 140 | 2010 |
Data advance preparation factors affecting results of sequence rule analysis in web log mining M Munk, J Kapusta, P Švec, M Turčáni Technická univerzita v Liberci, 2010 | 44 | 2010 |
Improvement of misleading and fake news classification for flective languages by morphological group analysis J Kapusta, J Obonya Informatics 7 (1), 4, 2020 | 32 | 2020 |
Methodology design for data preparation in the process of discovering patterns of Web users behaviour M Munk, M Drlik, J Kapusta, D Munkova Applied Mathematics & Information Science 7 (1), 27-36, 2013 | 30 | 2013 |
Comparison of fake and real news based on morphological analysis J Kapusta, P Hájek, M Munk, Ľ Benko Procedia Computer Science 171, 2285-2293, 2020 | 27 | 2020 |
Moodle Kompletní průvodce tvorbou a správou elektronických kurzů M Drlík, P Švec, J Kapusta, M Mesárošová Computer press, 2015 | 27 | 2015 |
Conceptual framework for programming skills development based on microlearning and automated source code evaluation in virtual learning environment J Skalka, M Drlik, L Benko, J Kapusta, JC Rodriguez del Pino, ... Sustainability 13 (6), 3293, 2021 | 26 | 2021 |
Cut-off time calculation for user session identification by reference length J Kapusta, M Munk 2012 6th International Conference on Application of Information and …, 2012 | 26 | 2012 |
Data preprocessing dependency for web usage mining based on sequence rule analysis M Munk, J Kapusta, P Švec IADIS European Conference on Data Mining, 179-181, 2009 | 26 | 2009 |
Framework for e-learning materials optimization D Halvoník, J Kapusta International Journal of Emerging Technologies in Learning (iJET) 15 (11), 67-77, 2020 | 21 | 2020 |
Probability modeling of accesses to the web parts of portal M Munk, M Vrábelová, J Kapusta Procedia Computer Science 3, 677-683, 2011 | 21 | 2011 |
Using of n-grams from morphological tags for fake news classification J Kapusta, M Drlik, M Munk PeerJ Computer Science 7, e624, 2021 | 20 | 2021 |
Fake news identification based on sentiment and frequency analysis J Kapusta, Ľ Benko, M Munk Innovation in Information Systems and Technologies to Support Learning …, 2020 | 17 | 2020 |
Evaluation of adaptive techniques dependent on educational content J Kapusta, M Munk, M Turčanǐ 2010 4th International Conference on Application of Information and …, 2010 | 17 | 2010 |
Experimental comparison of adaptive links annotation technique with adaptive direct guidance technique J Kapusta, M Munk, M Turčáni International Conference on Web Information Systems and Technologies 1, 250-255, 2009 | 17 | 2009 |
Determining the time window threshold to identify user sessions of stakeholders of a commercial bank portal J Kapusta, M Munk, P Svec, A Pilkova Procedia Computer Science 29, 1779-1790, 2014 | 14 | 2014 |
Identification of differences in university e-environment between selected EU and non-EU countries using knowledge mining methods: project IRNet case study M Drlík, P Švec, J Kapusta, M Munk, T Noskova, T Pavlova, O Yakovleva, ... International Journal of Web Based Communities 13 (2), 236-261, 2017 | 13 | 2017 |
System for post-editing and automatic error classification of machine translation D Munková, J Kapusta, M Drlík Proceedings of the DIVAI, 2016 | 12 | 2016 |
User session identification using reference length J Kapusta, M Munk, M Drlík DIVAI 2012: 9TH INTERNATIONAL SCIENTIFIC CONFERENCE ON DISTANCE LEARNING IN …, 2012 | 11 | 2012 |
Využitie e-learningu vo vyučovaní M Jakubeková, J Kapusta, M Drlík Bratislava: MPC, 2015 | 10 | 2015 |