| 2008 |
|---|
| 30 | EE | Jan Rauch:
Remarks to Logical Aspects of Measures of Interestingness of Association Rules.
ICDM Workshops 2008: 599-608 |
| 29 | EE | Jan Rauch,
Milan Simunek:
LAREDAM - Considerations on System of Local Analytical Reports from Data Mining.
ISMIS 2008: 143-149 |
| 28 | EE | Jan Rauch:
Classes of Association Rules: An Overview.
Data Mining: Foundations and Practice 2008: 315-337 |
| 2007 |
|---|
| 27 | EE | Jan Rauch:
Observational Calculi, Classes of Association Rules and F-property.
GrC 2007: 287-293 |
| 26 | | Jan Rauch:
Project SEWEBAR Considerations on Semantic Web and Data Mining.
IICAI 2007: 1763-1782 |
| 25 | EE | Jan Rauch,
Milan Simunek:
Semantic Web Presentation of Analytical Reports from Data Mining - Preliminary Considerations.
Web Intelligence 2007: 3-7 |
| 2006 |
|---|
| 24 | EE | Jan Rauch:
Many Sorted Observational Calculi for Multi-Relational Data Mining.
ICDM Workshops 2006: 417-422 |
| 23 | EE | 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 |
| 22 | EE | 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 |
| 21 | EE | Jan Rauch:
Definability of Association Rules in Predicate Calculus.
Foundations and Novel Approaches in Data Mining 2006: 23-40 |
| 2005 |
|---|
| 20 | EE | Vojtech Svátek,
Jan Rauch,
Martin Ralbovský:
Ontology-Enhanced Association Mining.
EWMF/KDO 2005: 163-179 |
| 19 | EE | Jan Rauch,
Milan Simunek:
GUHA method and granular computing.
GrC 2005: 630-635 |
| 18 | EE | Jan Rauch,
Milan Simunek:
An Alternative Approach to Mining Association Rules.
Foundations of Data Mining and knowledge Discovery 2005: 211-231 |
| 17 | EE | Petr Strossa,
Zdenek Cerný,
Jan Rauch:
Reporting Data Mining Results in a Natural Language.
Foundations of Data Mining and knowledge Discovery 2005: 347-361 |
| 16 | EE | Jan Rauch:
Logic of Association Rules.
Appl. Intell. 22(1): 9-28 (2005) |
| 2004 |
|---|
| 15 | EE | Petr Hájek,
Jan Rauch,
David Coufal,
Thomas Feglar:
The GUHA Method, Data Preprocessing and Mining.
Database Support for Data Mining Applications 2004: 135-153 |
| 14 | EE | Tomás Karban,
Jan Rauch,
Milan Simunek:
SDS-rules and association rules.
SAC 2004: 520-524 |
| 2003 |
|---|
| 13 | | Petr Strossa,
Jan Rauch:
Converting Association Rules into Natural Language - an Attempt.
IIS 2003: 383-392 |
| 12 | EE | Petr Hájek,
Martin Holena,
Jan Rauch:
The GUHA Method and Foundations of (Relational) Data Mining.
Theory and Applications of Relational Structures as Knowledge Instruments 2003: 17-37 |
| 2002 |
|---|
| 11 | EE | Václav Lín,
Jan Rauch,
Vojtech Svátek:
Mining and Querying in Association Rule Discovery.
KDID 2002: 97-98 |
| 10 | EE | Václav Lín,
Jan Rauch,
Vojtech Svátek:
Content-based Retrieval of Analytical Reports.
RuleML 2002 |
| 2001 |
|---|
| 9 | EE | Jan Rauch,
Milan Simunek:
Mining for Association Rules by 4ft-Miner.
INAP 2001: 285-295 |
| 2000 |
|---|
| 8 | EE | Jan Rauch,
Milan Simunek:
Mining for 4ft Association Rules.
Discovery Science 2000: 268-272 |
| 1999 |
|---|
| 7 | | Jan M. Zytkow,
Jan Rauch:
Principles of Data Mining and Knowledge Discovery, Third European Conference, PKDD '99, Prague, Czech Republic, September 15-18, 1999, Proceedings
Springer 1999 |
| 6 | EE | Jan Rauch:
Deduction in Logic of Association Rules.
ASIAN 1999: 386-387 |
| 5 | | Petr Hájek,
Jan Rauch:
Logics and Statistics for Association Rules and Beyond Abstract of Tutorial.
PKDD 1999: 586-587 |
| 1998 |
|---|
| 4 | EE | Jan Rauch:
Four-Fold Table Calculi for Discovery Science.
Discovery Science 1998: 405-406 |
| 3 | | Jan Rauch:
Classes of Four-Fold Table Quantifiers.
PKDD 1998: 203-211 |
| 1997 |
|---|
| 2 | | Jan Rauch:
Logical Calculi for Knowledge Discovery in Databases.
PKDD 1997: 47-57 |
| 1981 |
|---|
| 1 | | Jan Rauch:
Main Problems and Further Possibilities of the Computer Realization of GUHA Procedures.
International Journal of Man-Machine Studies 15(3): 283-287 (1981) |
