Stanislav Vojír

Publication Activity (10 Years)

Years Active: 2011-2020
Publications (10 Years): 5

Top Topics

Machine Learning Models

Frequent Itemsets

Top Venues

Challenge+DC@RuleML

Publications

Stanislav Vojír, Tomás Kliegr
Editable machine learning models? A rule-based framework for user studies of explainability. Adv. Data Anal. Classif. 14 (4) (2020)
David Chudán, Vojtech Svátek, Jaroslav Kuchar, Stanislav Vojír
Dolování z otevřených dat o rozpočtech a výdajích. Acta Informatica Pragensia 7 (1) (2018)
Stanislav Vojír, Vaclav Zeman, Jaroslav Kuchar, Tomás Kliegr
EasyMiner.eu: Web framework for interpretable machine learning based on rules and frequent itemsets. Knowl. Based Syst. 150 (2018)
Tomás Kliegr, Jaroslav Kuchar, Stanislav Vojír, Václav Zeman
EasyMiner - Short History of Research and Current Development. ITAT (2017)
Stanislav Vojír, Vaclav Zeman, Jaroslav Kuchar, Tomás Kliegr
Using EasyMiner API for Financial Data Analysis in the OpenBudgets.eu Project. RuleML+RR (Supplement) (2017)
Stanislav Vojír
Extension of Business Rule Sets Using Data Mining of GUHA Association Rules. ITAT (2015)
Stanislav Vojír, Vaclav Zeman, Jaroslav Kuchar, Tomás Kliegr
EasyMiner/R Preview: Towards a Web Interface for Association Rule Learning and Classification in R. Challenge+DC@RuleML (2015)
Stanislav Vojír, Premysl Václav Duben, Tomás Kliegr
Business Rule Learning with Interactive Selection of Association Rules. Challenge+DC@RuleML (2014)
Tomás Kliegr, Jaroslav Kuchar, Davide Sottara, Stanislav Vojír
Learning Business Rules with Association Rule Classifiers. RuleML (2014)
Stanislav Vojír, Tomás Kliegr, Andrej Hazucha, Radek Skrabal, Milan Simunek
Transforming Association Rules to Business Rules: EasyMiner meets Drools. RuleML (2) (2013)
Radek Skrabal, Milan Simunek, Stanislav Vojír, Andrej Hazucha, Tomás Marek, David Chudán, Tomás Kliegr
Association Rule Mining Following the Web Search Paradigm. ECML/PKDD (2) (2012)
Stanislav Vojír, Tomás Kliegr, Vojtech Svátek, Ondrej Sváb-Zamazal
Automated matching of data mining dataset schemata to background knowledge. OM (2011)