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Branko Kavšek
Branko Kavšek
Assistant Professor of Computer Science, University of Primorska, Researcher, Josef Stefan Institute
Verified email at upr.si - Homepage
Title
Cited by
Cited by
Year
Subgroup discovery with CN2-SD
N Lavrac, B Kavsek, P Flach, L Todorovski
J. Mach. Learn. Res. 5 (2), 153-188, 2004
565*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
3652000
APRIORI-SD: Adapting association rule learning to subgroup discovery
B Kavšek, N Lavrač
Applied Artificial Intelligence 20 (7), 543-583, 2006
3122006
APRIORI-SD: Adapting association rule learning to subgroup discovery
B Kavšek, N Lavrač
Applied Artificial Intelligence 20 (7), 543-583, 2006
3122006
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
462007
On the road to knowledge
P Flach, H Blockeel, T Gärtner, M Grobelnik, B Kavšek, M Kejkula, ...
Data Mining and Decision Support, 143-155, 2003
152003
On the road to knowledge
P Flach, H Blockeel, T Gärtner, M Grobelnik, B Kavšek, M Kejkula, ...
Data Mining and Decision Support, 143-155, 2003
152003
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
152002
Using subgroup discovery to analyze the UK traffic data
B Kavsek, N Lavrac
Advances in Methodology and Statistics 1 (1), 249-264, 2004
142004
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
132004
Coverage-based classification using association rule mining
J Mattiev, B Kavsek
Applied Sciences 10 (20), 7013, 2020
112020
A compact and understandable associative classifier based on overall coverage
J Mattiev, B Kavšek
Procedia computer science 170, 1161-1167, 2020
92020
ROC analysis of example weighting in subgroup discovery
B Kavšek, N Lavrac, L Todorovski
algorithms 2, 3, 2004
72004
Simple and accurate classification method based on class association rules performs well on well-known datasets
J Mattiev, B Kavšek
International Conference on Machine Learning, Optimization, and Data Science …, 2019
52019
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
52017
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
52001
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
42021
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
42007
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
32022
Resource modeling and analysis of regional public health care data by means of knowledge technologies
N Lavrač, M Bohanec, A Pur, B Cestnik, M Jermol, T Urbančič, M Debeljak, ...
Conference on Artificial Intelligence in Medicine in Europe, 414-418, 2005
32005
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