Stanislav Vojíř
TitleCited byYear
Learning business rules with association rule classifiers
T Kliegr, J Kuchař, D Sottara, S Vojíř
International Symposium on Rules and Rule Markup Languages for the Semantic …, 2014
262014
Transforming association rules to business rules: EasyMiner meets Drools
S Vojır, T Kliegr, A Hazucha, R Škrabal, M Šimunek
RuleML-2013 Challenge. CEUR-WS. org 49, 2013
112013
Association rule mining following the web search paradigm
R Škrabal, M Šimůnek, S Vojíř, A Hazucha, T Marek, D Chudán, T Kliegr
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012
102012
Background knowledge and PMML: first considerations
T Kliegr, S Vojíř, J Rauch
Proceedings of the 2011 workshop on Predictive markup language modeling, 54-62, 2011
92011
EasyMiner/R Preview: Towards a Web Interface for Association Rule Learning and Classification in R.
S Vojír, V Zeman, J Kuchar, T Kliegr
Challenge+ DC@ RuleML, 2015
62015
Elicitation of background knowledge for data mining
J Balhar, T Kliegr, D Stastny, S Vojir
Proceedings of Znalosti 2010, Jindrichuv Hradec, 283-286, 2010
62010
EasyMiner. eu: Web framework for interpretable machine learning based on rules and frequent itemsets
S Vojíř, V Zeman, J Kuchař, T Kliegr
Knowledge-Based Systems 150, 111-115, 2018
52018
Easyminer-short history of research and current development
T Kliegr, J Kuchař, S Vojíř, V Zeman
Proceedings of the 17th Conference on Information Technologies-Applications …, 2017
32017
Using EasyMiner API for Financial Data Analysis in the OpenBudgets. eu Project
S Vojíř, V Zeman, J Kuchař, T Kliegr
Proceedings of the Doctoral Consortium, Challenge, Industry Track, Tutorials …, 2017
22017
Business rules mining using GUHA method for the personalization of commercial offers
S Vojir, Z Smutny
Engineering Economics 28 (2), 215-224, 2017
22017
A Methodology Concept of Online Marketing Management with a Knowledge Base of Interactions from Internet-based Services
Z Smutny, S Vojir
3rd International Conference on Innovation and Entrepreneurship, 242-249, 2015
22015
Business rule learning with interactive selection of association rules
S Vojır, PV Duben, T Kliegr
RuleML Challenge 2014, 2014
22014
Využití EasyMiner API v projektu OpenBudgets. eu
S Vojíř, V Zeman, J Kuchař, T Kliegr
Západočeská univerzita v Plzni, 2017
12017
Extension of Business Rule Sets Using Data Mining of GUHA Association Rules
S Vojíř
Proceedings of the 15th Conference ITAT, 59-64, 2015
12015
Application of Semantic Network for Knowledge Sharing in the Field of Marketing
S Vojir, Z Smutny
European Conference on Knowledge Management 3, 1306, 2014
12014
Učení business rules z výsledků dolování GUHA asociačních pravidel
S VOJÍŘ
Vysoká škola ekonomická v Praze, 2012
12012
Automated matching of data mining dataset schemata to background knowledge
S Vojíř, T Kliegr, V Svátek, O Šváb-Zamazal
Proceedings of the 6th International Conference on Ontology Matching-Volume …, 2011
12011
Dolování z otevřených dat o rozpočtech a výdajích
D Chudán, V Svátek, J Kuchař, S Vojíř
Acta Informatica Pragensia 7 (1), 58-73, 2018
2018
Data Mining from Open Fiscal Data
D Chudán, V Svátek, J Kuchař, S Vojíř
Acta Informatica Pragensia 2018 (1), 58-73, 2018
2018
Hodnocení (ne) zajímavosti asociačních pravidel za využití báze znalostí
PV Duben
Západočeská univerzita v Plzni, 2017
2017
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Articles 1–20