Mining for 4ft Association Rules. - Jan Rauch; Milan Simunek (Discovery Science, 2000)

Mining for Association Rules by 4ft-Miner. - Jan Rauch; Milan Simunek (INAP, 2001)

SDS-rules and association rules. - Tomás Karban; Jan Rauch; Milan Simunek (SAC, 2004)

GUHA method and granular computing. - Jan Rauch; Milan Simunek (GrC, 2005)

An Alternative Approach to Mining Association Rules. - Jan Rauch; Milan Simunek (Foundations of Data Mining and knowledge Discovery, 2005)

On the Logic of Medical Decision Support. - Patrik Eklund; Johan Karlsson 001; Jan Rauch; Milan Simunek (Theory and Applications of Relational Structures as Knowledge Instruments, 2006)

Recurrent Neural Network Based Gating for Natural Gas Load Prediction System. - Petr Musílek; Emil Pelikán; Tomas Brabec; Milan Simunek (IJCNN, 2006)

Mining for Patterns Based on Contingency Tables by KL-Miner - First Experience. - Jan Rauch; Milan Simunek; Václav Lín (Foundations and Novel Approaches in Data Mining, 2006)

Semantic Web Presentation of Analytical Reports from Data Mining - Preliminary Considerations. - Jan Rauch; Milan Simunek (Web Intelligence, 2007)

LAREDAM - Considerations on System of Local Analytical Reports from Data Mining. - Jan Rauch; Milan Simunek (ISMIS, 2008)

Semantic Analytical Reports: A Framework for Post-processing Data Mining Results. - Tomás Kliegr; Martin Ralbovský; Vojtech Svátek; Milan Simunek; Vojtech Jirkovský; Jan Nemrava; Jan Zemánek (ISMIS, 2009)

Action Rules and the GUHA Method: Preliminary Considerations and Results. - Jan Rauch; Milan Simunek (ISMIS, 2009)

Dealing with Background Knowledge in the SEWEBAR Project. - Jan Rauch; Milan Simunek (Knowledge Discovery Enhanced with Semantic and Social Information, 2009)

Distributed Data-Mining in the LISp-Miner System Using Techila Grid. - Milan Simunek; Teppo Tammisto (NDT (1), 2010)

Applying Domain Knowledge in Association Rules Mining Process - First Experience. - Jan Rauch; Milan Simunek (ISMIS, 2011)

Dealing with domain knowledge in association rules mining - Several experiments. - Jan Rauch; Milan Simunek (ICDKE, 2011)

SEWEBAR-CMS: semantic analytical report authoring for data mining results. - Tomás Kliegr; Vojtech Svátek; Martin Ralbovský; Milan Simunek (J. Intell. Inf. Syst., 2011)

Association Rule Mining Following the Web Search Paradigm. - Radek Skrabal; Milan Simunek; Stanislav Vojír; Andrej Hazucha; Tomás Marek; David Chudán; Tomás Kliegr (ECML/PKDD (2), 2012)

Using Domain Knowledge in Association Rules Mining - Case Study. - Jan Rauch; Milan Simunek (KDIR/KMIS, 2013)

Transforming Association Rules to Business Rules: EasyMiner meets Drools. - Stanislav Vojír; Tomás Kliegr; Andrej Hazucha; Radek Skrabal; Milan Simunek (RuleML (2), 2013)

EverMiner Prototype Using LISp-Miner Control Language. - Milan Simunek; Jan Rauch (ISMIS, 2014)

Learning Association Rules from Data through Domain Knowledge and Automation. - Jan Rauch; Milan Simunek (RuleML, 2014)

Bayesian analysis of GUHA hypotheses. - Robert Piché; Marko Järvenpää; Esko Turunen; Milan Simunek (J. Intell. Inf. Syst., 2014)

Data Mining with Histograms - A Case Study. - Jan Rauch; Milan Simunek (ISMIS, 2015)

Apriori and GUHA - Comparing two approaches to data mining with association rules. - Jan Rauch; Milan Simunek (Intell. Data Anal., 2017)

Data Mining with Histograms and Domain Knowledge - Case Studies and Considerations. - Jan Rauch; Milan Simunek (Fundam. Informaticae, 2019)