| Subgroup discovery with CN2-SD N Lavrac, B Kavsek, P Flach, L Todorovski J. Mach. Learn. Res. 5 (2), 153-188, 2004 | 597* | 2004 |
| Informal identification of outliers in medical data J Laurikkala, M Juhola, E Kentala, N Lavrac, S Miksch, B Kavsek Fifth international workshop on intelligent data analysis in medicine and …, 2000 | 412 | 2000 |
| APRIORI-SD: Adapting association rule learning to subgroup discovery B Kavšek, N Lavrač Applied Artificial Intelligence 20 (7), 543-583, 2006 | 333 | 2006 |
| Evaluating comparisons and evaluations of learning management systems M Kljun, J Vicic, B Kavsek, A Kavcic 2007 29th International Conference on Information Technology Interfaces, 363-368, 2007 | 54 | 2007 |
| Coverage-based classification using association rule mining J Mattiev, B Kavsek Applied Sciences 10 (20), 7013, 2020 | 21 | 2020 |
| On the road to knowledge: mining 21 years of UK traffic accident reports P Flach, H Blockeel, T Gärtner, M Grobelnik, B Kavšek, M Kejkula, ... Data Mining and Decision Support: Integration and Collaboration, 143-155, 2003 | 15 | 2003 |
| Rule induction for subgroup discovery: a case study in mining UK traffic accident data B Kavšek, N Lavrac, JC Bullas Proceedings of the international multi-conference on information society …, 2002 | 15 | 2002 |
| A compact and understandable associative classifier based on overall coverage J Mattiev, B Kavšek Procedia computer science 170, 1161-1167, 2020 | 13 | 2020 |
| Using subgroup discovery to analyze the UK traffic data B Kavsek, N Lavrac Metodoloski zvezki 1 (1), 249, 2004 | 13 | 2004 |
| Analysis of example weighting in subgroup discovery by comparison of three algorithms on a real-life data set B Kavsek, N Lavrac Proceedings of the 15th European conference on machine learning and 8th …, 2004 | 13 | 2004 |
| Privacy-preserving data mining on blockchain-based wsns N Hrovatin, A Tošić, M Mrissa, B Kavšek Applied Sciences 12 (11), 5646, 2022 | 11 | 2022 |
| Distance based clustering of class association rules to build a compact, accurate and descriptive classifier J Mattiev, B Kavšek Computer Science and Information Systems 18 (3), 791-811, 2021 | 9 | 2021 |
| CMAC: clustering class association rules to form a compact and meaningful associative classifier J Mattiev, B Kavšek Machine Learning, Optimization, and Data Science: 6th International …, 2020 | 8 | 2020 |
| ROC analysis of example weighting in subgroup discovery B Kavšek, N Lavrac, L Todorovski algorithms 2, 3, 2004 | 8 | 2004 |
| Simple and accurate classification method based on class association rules performs well on well-known datasets J Mattiev, B Kavšek Machine Learning, Optimization, and Data Science: 5th International …, 2019 | 6 | 2019 |
| Word Game Modeling Using Character-Level N-Gram and Statistics J Mattiev, U Salaev, B Kavsek Mathematics 11 (6), 1380, 2023 | 5 | 2023 |
| Privacy-aware and secure decentralized air quality monitoring M Mrissa, A Tošić, N Hrovatin, S Aslam, B Dávid, L Hajdu, M Krész, ... Applied sciences 12 (4), 2147, 2022 | 5 | 2022 |
| Consensus decision trees: Using consensus hierarchical clustering for data relabelling and reduction B Kavšek, N Lavrač, A Ferligoj European Conference on Machine Learning, 251-262, 2001 | 5 | 2001 |
| Using Words from Daily News Headlines to Predict the Movement of Stock Market Indices. B Kavšek Managing Global Transitions: International Research Journal 15 (2), 2017 | 4 | 2017 |
| Extending traditional learning by enforcing collaboration and self-assessment J Vicic, B Kavsek, M Kljun, A Brodnik 2007 29th International Conference on Information Technology Interfaces, 387-392, 2007 | 4 | 2007 |
