Jan Rauch

68 papers B 3C 7Misc 5Journal 15Unranked 26
YearRankTypeTitle / Venue / Authors
2025 J jnl
Histograms as tools for mining actionable knowledge - principles and examples.
J. Intell. Inf. Syst.
Jan Rauch
2024 J jnl
A novel algorithm for mining couples of enhanced association rules based on the number of output couples and its application.
J. Intell. Inf. Syst.
Petr Mása, Jan Rauch
2024 J jnl
A novel algorithm weighting different importance of classes in enhanced association rules.
Knowl. Based Syst.
Petr Mása, Jan Rauch
2022 — conf
Enhanced Association Rules and Python.
LOD (2)
Petr Mása, Jan Rauch
2019 J jnl
Data Mining with Histograms and Domain Knowledge - Case Studies and Considerations.
Fundam. Informaticae
Jan Rauch, Milan Simunek
2019 J jnl
Expert deduction rules in data mining with association rules: a case study.
Knowl. Inf. Syst.
Jan Rauch
2017 J jnl
Apriori and GUHA - Comparing two approaches to data mining with association rules.
Intell. Data Anal.
Jan Rauch, Milan Simunek
2016 J jnl
Logical Aspects of Dealing with Domain Knowledge in Data Mining with Association Rules.
Fundam. Informaticae
Jan Rauch
2015 C conf
Data Mining with Histograms - A Case Study.
ISMIS
Jan Rauch, Milan Simunek
2015 J jnl
Formal Framework for Data Mining with Association Rules and Domain Knowledge - Overview of an Approach.
Fundam. Informaticae
Jan Rauch
2014 C conf
EverMiner Prototype Using LISp-Miner Control Language.
ISMIS
Milan Simunek, Jan Rauch
2014 — conf
Learning Association Rules from Data through Domain Knowledge and Automation.
RuleML
Jan Rauch, Milan Simunek
2013 — book
Observational Calculi and Association Rules
Jan Rauch
2013 — conf
Using Domain Knowledge in Association Rules Mining - Case Study.
KDIR/KMIS
Jan Rauch, Milan Simunek
2012 C conf
Domain Knowledge and Data Mining with Association Rules - A Logical Point of View.
ISMIS
Jan Rauch
2012 — conf
EuroMISE Center: Research and Education in Biomedical and Healthcare Informatics.
EFMI-STC
Jana Zvárová, Stepán Svacina, Jan Rauch, Jirí Haase, Hana Grünfeldová
2012 J jnl
EverMiner: consideration on knowledge driven permanent data mining process.
Int. J. Data Min. Model. Manag.
Jan Rauch
2012 Misc conf
Formalizing data mining with association rules.
GrC
Jan Rauch
2011 C conf
Applying Domain Knowledge in Association Rules Mining Process - First Experience.
ISMIS
Jan Rauch, Milan Simunek
2011 Misc conf
Consideration on a formal frame for data mining.
GrC
Jan Rauch
2011 — conf
Dealing with domain knowledge in association rules mining - Several experiments.
ICDKE
Jan Rauch, Milan Simunek
2011 J jnl
Special issue on data analysis methodologies for intelligent systems: guest editor's introduction.
J. Intell. Inf. Syst.
Tapio Elomaa, Petr Berka, Jan Rauch
2010 — conf
An XML Format for Association Rule Models Based on the GUHA Method.
RuleML
Tomás Kliegr, Jan Rauch
2010 — conf
Logic of Discovery, Data Mining and Semantic Web - Position Paper.
KDIR
Jan Rauch
2010 — ch.
Logical Aspects of the Measures of Interestingness of Association Rules.
Advances in Machine Learning II
Jan Rauch
2010 B conf
Meta-learning for Post-processing of Association Rules.
DaWak
Petr Berka, Jan Rauch
2010 — conf
Mining and Post-processing of Association Rules in the Atherosclerosis Risk Domain.
ITBAM
Petr Berka, Jan Rauch
2010 — conf
Modifying Logic of Discovery for Dealing with Domain Knowledge in Data Mining.
CLA
Jan Rauch
2010 — conf
SEWEBAR-CMS: A System for Postprocessing Data Mining Models.
RuleML Challenge
Tomás Kliegr, David Chudán, Andrej Hazucha, Jan Rauch
2010 J jnl
The GUHA method and its meaning for data mining.
J. Comput. Syst. Sci.
Petr Hájek, Martin Holena, Jan Rauch
2009 C conf
Action Rules and the GUHA Method: Preliminary Considerations and Results.
ISMIS
Jan Rauch, Milan Simunek
2009 — ch.
Dealing with Background Knowledge in the SEWEBAR Project.
Knowledge Discovery Enhanced with Semantic and Social Information
Jan Rauch, Milan Simunek
2009 C ed.
Foundations of Intelligent Systems, 18th International Symposium, ISMIS 2009, Prague, Czech Republic, September 14-17, 2009. Proceedings
ISMIS
Jan Rauch, Zbigniew W. Ras, Petr Berka, Tapio Elomaa
2008 — ch.
Classes of Association Rules: An Overview.
Data Mining: Foundations and Practice
Jan Rauch
2008 C conf
LAREDAM - Considerations on System of Local Analytical Reports from Data Mining.
ISMIS
Jan Rauch, Milan Simunek
2008 — conf
Observational Calculi - Tool for Semantic Web.
ESWC (Posters)
Jan Rauch
2008 — conf
Remarks to Logical Aspects of Measures of Interestingness of Association Rules.
ICDM Workshops
Jan Rauch
2007 J jnl
Lessons Learned from the ECML/PKDD Discovery Challenge on the Atherosclerosis Risk Factors Data.
Comput. Informatics
Petr Berka, Jan Rauch, Marie Tomecková
2007 Misc conf
Observational Calculi, Classes of Association Rules and F-property.
GrC
Jan Rauch
2007 — conf
Project SEWEBAR Considerations on Semantic Web and Data Mining.
IICAI
Jan Rauch
2007 — conf
Semantic Web Presentation of Analytical Reports from Data Mining - Preliminary Considerations.
Web Intelligence
Jan Rauch, Milan Simunek
2006 — ch.
Definability of Association Rules in Predicate Calculus.
Foundations and Novel Approaches in Data Mining
Jan Rauch
2006 — conf
Many Sorted Observational Calculi for Multi-Relational Data Mining.
ICDM Workshops
Jan Rauch
2006 — ch.
Mining for Patterns Based on Contingency Tables by
Foundations and Novel Approaches in Data Mining
Jan Rauch, Milan Simunek, Václav Lín
2006 — ch.
On the Logic of Medical Decision Support.
Theory and Applications of Relational Structures as Knowledge Instruments
Patrik Eklund, Johan Karlsson, Jan Rauch, Milan Simunek
2005 — ch.
An Alternative Approach to Mining Association Rules.
Foundations of Data Mining and knowledge Discovery
Jan Rauch, Milan Simunek
2005 Misc conf
GUHA method and granular computing.
GrC
Jan Rauch, Milan Simunek
2005 J jnl
Logic of Association Rules.
Appl. Intell.
Jan Rauch
2005 — conf
Ontology-Enhanced Association Mining.
EWMF/KDO
Vojtech Svátek, Jan Rauch, Martin Ralbovský
2005 — ch.
Reporting Data Mining Results in a Natural Language.
Foundations of Data Mining and knowledge Discovery
Petr Strossa, Zdenek Cerný, Jan Rauch
2004 — conf
Analysis of guideline compliance - a data mining approach.
CGP
Vojtech Svátek, Antonín Ríha, Jan Peleska, Jan Rauch
2004 Misc conf
SDS-rules and association rules.
SAC
Tomás Karban, Jan Rauch, Milan Simunek
2004 — ch.
The GUHA Method, Data Preprocessing and Mining.
Database Support for Data Mining Applications
Petr Hájek, Jan Rauch, David Coufal, Thomas Feglar
2003 — conf
Converting Association Rules into Natural Language - an Attempt.
IIS
Petr Strossa, Jan Rauch
2003 — ch.
The GUHA Method and Foundations of (Relational) Data Mining.
Theory and Applications of Relational Structures as Knowledge Instruments
Petr Hájek, Martin Holena, Jan Rauch
2002 — conf
Content-based Retrieval of Analytical Reports.
RuleML
Václav Lín, Jan Rauch, Vojtech Svátek
2002 — conf
Mining and Querying in Association Rule Discovery.
KDID
Václav Lín, Jan Rauch, Vojtech Svátek
2001 — conf
Mining for Association Rules by 4ft-Miner.
INAP
Jan Rauch, Milan Simunek
2000 B conf
Mining for 4ft Association Rules.
Discovery Science
Jan Rauch, Milan Simunek
1999 — conf
Deduction in Logic of Association Rules.
ASIAN
Jan Rauch
1999 — conf
Logics and Statistics for Association Rules and Beyond Abstract of Tutorial.
PKDD
Petr Hájek, Jan Rauch
1999 — ed.
Principles of Data Mining and Knowledge Discovery, Third European Conference, PKDD '99, Prague, Czech Republic, September 15-18, 1999, Proceedings
PKDD
Jan M. Zytkow, Jan Rauch
1998 — conf
Classes of Four-Fold Table Quantifiers.
PKDD
Jan Rauch
1998 B conf
Four-Fold Table Calculi for Discovery Science.
Discovery Science
Jan Rauch
1997 — conf
Logical Calculi for Knowledge Discovery in Databases.
PKDD
Jan Rauch
1996 — conf
GUHA as data mining tool.
PAKM
Jan Rauch
1981 J jnl
Main Problems and Further Possibilities of the Computer Realization of GUHA Procedures.
Int. J. Man Mach. Stud.
Jan Rauch
1975 J jnl
A remark to the GUHA method in the three-valued logic.
Kybernetika
Jan Rauch