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Mechanizing Hypothesis Formation: Principles and Case Studies

1, 2022

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Expert deduction rules in data mining with association rules: a case study

Knowledge and information systems, 2019-04, Vol.59 (1), p.167-195

Rauch, Jan

2019

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Numerical Methods in Industrial Forming Processes: Numiform 2023

2024

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A novel algorithm weighting different importance of classes in enhanced association rules

Knowledge-based systems, 2024-06, Vol.294, p.111741, Article 111741

2024

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Logical Aspects of Dealing with Domain Knowledge in Data Mining with Association Rules

Fundamenta informaticae, 2016-01, Vol.148 (1-2), p.1-33

2016

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A novel algorithm for mining couples of enhanced association rules based on the number of output couples and its application

Journal of intelligent information systems, 2024-04, Vol.62 (2), p.431-458

2024

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Formal Framework for Data Mining with Association Rules and Domain Knowledge – Overview of an Approach

Fundamenta informaticae, 2015, Vol.137 (2), p.171-217

Rauch, Jan

2015

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Foundations of Intelligent Systems: 18th International Symposium, ISMIS 2009, Prague, Czech Republic, September 14-17, 2009, Proceedings

2009, 2009

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Principles of Data Mining and Knowledge Discovery: Third European Conference, PKDD'99 Prague, Czech Republic, September 15-18, 1999 Proceedings

1, 1999

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Data Mining with Histograms and Domain Knowledge – Case Studies and Considerations

Fundamenta informaticae, 2019-01, Vol.166 (4), p.349-378

2019

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Apriori and GUHA – Comparing two approaches to data mining with association rules

Intelligent data analysis, 2017-01, Vol.21 (4), p.981-1013

2017

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Logic of Association Rules

Applied intelligence (Dordrecht, Netherlands), 2005-01, Vol.22 (1), p.9-28

Rauch, Jan

2005

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The GUHA method and its meaning for data mining

Journal of computer and system sciences, 2010-02, Vol.76 (1), p.34-48

2010

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EverMiner: consideration on knowledge driven permanent data mining process

International journal of data mining, modelling and management, 2012, Vol.4 (3), p.224

Rauch, Jan

2012

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Enhanced Association Rules and Python

Machine Learning, Optimization, and Data Science, 2023, Vol.13811, p.123-138

2023

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Principles of data mining and knowledge discovery

2006

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Special issue on data analysis methodologies for intelligent systems: guest editor’s introduction

Journal of intelligent information systems, 2011-12, Vol.37 (3), p.291-292

2011

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Detecting Temporal Trends of Technical Phrases by Using Importance Indices and Linear Regression

Foundations of Intelligent Systems, p.251-260

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Domain Knowledge and Data Mining with Association Rules – A Logical Point of View

Foundations of Intelligent Systems, p.11-20

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Data Mining with Histograms – A Case Study

Foundations of Intelligent Systems, p.3-8

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Learning Association Rules from Data through Domain Knowledge and Automation

Rules on the Web. From Theory to Applications, p.266-280

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Meta-learning for Post-processing of Association Rules

Data Warehousing and Knowledge Discovery, p.251-262

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Mining and Post-processing of Association Rules in the Atherosclerosis Risk Domain

Information Technology in Bio- and Medical Informatics, ITBAM 2010, p.110-117

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EverMiner Prototype Using LISp-Miner Control Language

Foundations of Intelligent Systems, p.113-122

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Methodologies for Intelligent Systems

Fundamenta informaticae, 2010, Vol.99 (2), p.i-ii

2010

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Mechanizing Hypothesis Formation: Principles and Case Studies

Expert deduction rules in data mining with association rules: a case study

Numerical Methods in Industrial Forming Processes: Numiform 2023

A novel algorithm weighting different importance of classes in enhanced association rules

Logical Aspects of Dealing with Domain Knowledge in Data Mining with Association Rules

A novel algorithm for mining couples of enhanced association rules based on the number of output couples and its application

Formal Framework for Data Mining with Association Rules and Domain Knowledge – Overview of an Approach

Foundations of Intelligent Systems: 18th International Symposium, ISMIS 2009, Prague, Czech Republic, September 14-17, 2009, Proceedings

Principles of Data Mining and Knowledge Discovery: Third European Conference, PKDD'99 Prague, Czech Republic, September 15-18, 1999 Proceedings

Data Mining with Histograms and Domain Knowledge – Case Studies and Considerations

Apriori and GUHA – Comparing two approaches to data mining with association rules

Logic of Association Rules

The GUHA method and its meaning for data mining

EverMiner: consideration on knowledge driven permanent data mining process

Enhanced Association Rules and Python

Principles of data mining and knowledge discovery

Special issue on data analysis methodologies for intelligent systems: guest editor’s introduction

Detecting Temporal Trends of Technical Phrases by Using Importance Indices and Linear Regression

Domain Knowledge and Data Mining with Association Rules – A Logical Point of View

Data Mining with Histograms – A Case Study

Learning Association Rules from Data through Domain Knowledge and Automation

Meta-learning for Post-processing of Association Rules

Mining and Post-processing of Association Rules in the Atherosclerosis Risk Domain

EverMiner Prototype Using LISp-Miner Control Language

Methodologies for Intelligent Systems

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