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Milan Simunek
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2010 – 2019
- 2019
- [j4]Jan Rauch, Milan Simunek:
Data Mining with Histograms and Domain Knowledge - Case Studies and Considerations. Fundam. Informaticae 166(4): 349-378 (2019) - 2017
- [j3]Jan Rauch, Milan Simunek:
Apriori and GUHA - Comparing two approaches to data mining with association rules. Intell. Data Anal. 21(4): 981-1013 (2017) - 2015
- [c18]Jan Rauch, Milan Simunek:
Data Mining with Histograms - A Case Study. ISMIS 2015: 3-8 - 2014
- [j2]Robert Piché
, Marko Järvenpää, Esko Turunen
Bayesian analysis of GUHA hypotheses. J. Intell. Inf. Syst. 42(1): 47-73 (2014) - [c17]Milan Simunek, Jan Rauch:
EverMiner Prototype Using LISp-Miner Control Language. ISMIS 2014: 113-122 - [c16]Jan Rauch, Milan Simunek:
Learning Association Rules from Data through Domain Knowledge and Automation. RuleML 2014: 266-280 - 2013
- [c15]Jan Rauch, Milan Simunek:
Using Domain Knowledge in Association Rules Mining - Case Study. KDIR/KMIS 2013: 104-111 - [c14]Stanislav Vojír, Tomás Kliegr, Andrej Hazucha, Radek Skrabal, Milan Simunek:
Transforming Association Rules to Business Rules: EasyMiner meets Drools. RuleML (2) 2013 - 2012
- [c13]Radek Skrabal, Milan Simunek, Stanislav Vojír
Association Rule Mining Following the Web Search Paradigm. ECML/PKDD (2) 2012: 808-811 - 2011
- [j1]Tomás Kliegr, Vojtech Svátek, Martin Ralbovský, Milan Simunek:
SEWEBAR-CMS: semantic analytical report authoring for data mining results. J. Intell. Inf. Syst. 37(3): 371-395 (2011) - [c12]Jan Rauch, Milan Simunek:
Applying Domain Knowledge in Association Rules Mining Process - First Experience. ISMIS 2011: 113-122 - [c11]Jan Rauch, Milan Simunek:
Dealing with domain knowledge in association rules mining - Several experiments. ICDKE 2011: 13-17 - 2010
- [c10]Milan Simunek, Teppo Tammisto:
Distributed Data-Mining in the LISp-Miner System Using Techila Grid. NDT (1) 2010: 15-20
2000 – 2009
- 2009
- [c9]Jan Rauch, Milan Simunek:
Action Rules and the GUHA Method: Preliminary Considerations and Results. ISMIS 2009: 76-87 - [c8]Tomás Kliegr, Martin Ralbovský, Vojtech Svátek, Milan Simunek, Vojtech Jirkovský, Jan Nemrava, Jan Zemánek:
Semantic Analytical Reports: A Framework for Post-processing Data Mining Results. ISMIS 2009: 88-98 - [p4]Jan Rauch, Milan Simunek:
Dealing with Background Knowledge in the SEWEBAR Project. Knowledge Discovery Enhanced with Semantic and Social Information 2009: 89-106 - 2008
- [c7]Jan Rauch, Milan Simunek:
LAREDAM - Considerations on System of Local Analytical Reports from Data Mining. ISMIS 2008: 143-149 - 2007
- [c6]Jan Rauch, Milan Simunek:
Semantic Web Presentation of Analytical Reports from Data Mining - Preliminary Considerations. Web Intelligence 2007: 3-7 - 2006
- [c5]Petr Musílek, Emil Pelikán, Tomas Brabec, Milan Simunek:
Recurrent Neural Network Based Gating for Natural Gas Load Prediction System. IJCNN 2006: 3736-3741 - [p3]Patrik Eklund, Johan Karlsson, Jan Rauch, Milan Simunek:
On the Logic of Medical Decision Support. Theory and Applications of Relational Structures as Knowledge Instruments 2006: 50-59 - [p2]Jan Rauch, Milan Simunek, Václav Lín:
Mining for Patterns Based on Contingency Tables by KL-Miner - First Experience. Foundations and Novel Approaches in Data Mining 2006: 155-167 - 2005
- [c4]Jan Rauch, Milan Simunek:
GUHA method and granular computing. GrC 2005: 630-635 - [p1]Jan Rauch, Milan Simunek:
An Alternative Approach to Mining Association Rules. Foundations of Data Mining and knowledge Discovery 2005: 211-231 - 2004
- [c3]Tomás Karban, Jan Rauch, Milan Simunek:
SDS-rules and association rules. SAC 2004: 520-524 - 2001
- [c2]Jan Rauch, Milan Simunek:
Mining for Association Rules by 4ft-Miner. INAP 2001: 285-295 - 2000
- [c1]Jan Rauch, Milan Simunek:
Mining for 4ft Association Rules. Discovery Science 2000: 268-272
Coauthor Index
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