Petr Berka

发表

Loan Applications Classification by Exploration Trees

Petr Berka, 2010 .

Towards Comprehensive Concept Description Based on Association Rules

Petr Berka, P. Berka, 2013, IDA.

Data Cleansing Using Clustering

Petr Berka, 2015, ICMMI.

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

Tapio Elomaa, Jan Rauch, Petr Berka, 2011, Journal of Intelligent Information Systems.

Analysis of Neurosurgery Data Using Statistical and Data Mining Methods

Lubos Marek, Petr Berka, Josef Jablonsky, 2015, MICAI.

EXPERT SYSTEM SHELL SAK BASED ON COMPLETE MANY-VALUED LOGIC AND ITS APPLICATION IN TERRITORIAL PLANNING

Petr Berka, Jiří Ivánek, Jan Ferjenčík, 1992 .

Automated Knowledge Acquisition for PROSPECTOR-like Expert Systems

Petr Berka, Jirí Ivánek, 1994, ECML.

Rule-based Reasoning for Semantic Image Segmentation and Interpretation

Yannis Avrithis, Petr Berka, Thanos Athanasiadis, 2006, SAMT.

Knowledge Discovery in Databases and Data Mining

Petr Berka, P. Berka, 2015 .

URL as starting point for WWW document categorization

Vojtech Svátek, Petr Berka, V. Svátek, 2000, RIAO.

Data Mining in Atherosclerosis Risk Factor Data

Jan Rauch, Marie Tomecková, Petr Berka, 2009 .

Preface to the Workshop on Domain Driven Data Mining

Elena Baralis, Michelangelo Ceci, Yanchang Zhao, 2011, IEEE ICDM 2011.

Knowledge in Context: Few Faces of the Knowledge Society

Hana Mohelska, Vladimír Bureš, Imre J. Rudas, 2010 .

RULE-BASED PREDICTION OF SHORT TERM ELECTRIC LOAD

Petr Berka, 2014 .

Learning compositional decision rules using the KEX algorithm

Petr Berka, P. Berka, 2012, Intell. Data Anal..

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

Tapio Elomaa, Jan Rauch, Zbigniew W. Ras, 2009, ISMIS.

Dobývání znalostí z databází

Petr Berka, 2003 .

Data mining and medical knowledge management

Petr Berka, Jan Rauch, Djamel Abdelkader Zighed, 2015 .

Improved Possibilistic Classifier as a Recommender System.

Petr Berka, Tomáš Kroupa, 2003 .

Recognizing Reliability of Discovered Knowledge

Petr Berka, 1997, PKDD.

Credit Risk Assessment Using Decision and Exploration Trees

Petr Berka, 2016 .

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

Jan Rauch, Petr Berka, 2010, ITBAM.

ECML/PKDD 2003 Discovery Challenge Workshop Notes: Proceedingsof 14th European Conference on Machine Learning and 7thEuropean Conference on Principles and Practice of KnowledgeDiscovery in Databases

Petr Berka, 2003 .

Data Mining and Medical Knowledge Management: Cases and Applications

Jan Rauch, Petr Berka, Djamel Abdelkader Zighed, 2009 .

Rule - based Prediction of Page Occurence in Click- stream Data

Petr Berka, 2007 .

Discovering Company Descriptions on the Web by Multiway Analysis

Vojtech Svátek, Petr Berka, Martin Kavalec, 2003, IIS.

Meta-learning for Post-processing of Association Rules

Jan Rauch, Petr Berka, 2010, DaWak.

Lessons Learned from Data Mining Challenges

Petr Berka, P. Berka, 2012 .

Sentiment analysis using rule-based and case-based reasoning

Petr Berka, P. Berka, 2020, Journal of Intelligent Information Systems.

NEST: A Compositional Approach to Rule-Based and Case-Based Reasoning

Petr Berka, 2011, Adv. Artif. Intell..

Rule Induction for Click-Stream Analysis: Set Covering and Compositional Approach

Petr Berka, Tomas Kocka, Vladimír Las, 2005, Intelligent Information Systems.

Practical Aspects of Data Mining Using LISp-Miner

Petr Berka, P. Berka, 2016, Comput. Informatics.

Discretization and Fuzzification of Numerical Attributes in Attribute-Based Learning

Ivan Bruha, Petr Berka, 2000 .

WISECON: the intelligent support for e-commerce

Petr Berka, Tomáš Kroupa, 2002, Proceedings First International IEEE Symposium Intelligent Systems.

Knowledge Engineering Research and Training at the Department of Scientifioc and Technical Information, Prague School of Economics

Petr Berka, Jirí Ivánek, Jan Ferjencík, 1989, Artificial Intelligence in Higher Education.

WISECON - An Intelligent Assistant for Buying Computers on the Internet

Petr Berka, Tomas Kocka, Tomás Kroupa, 2002, ISMIS.

ETree Miner: A New GUHA Procedure for Building Exploration Trees

Petr Berka, 2011, ISMIS.

Business Rules Management Systems

Petr Berka, P. Berka, 2017 .

Discretization and Grouping: Preprocessing Steps for Data Mining

Ivan Bruha, Petr Berka, 1998, PKDD.

Comprehensive concept description based on association rules: A meta-learning approach

Petr Berka, P. Berka, 2018, Intell. Data Anal..

Genetic learner: Discretization and fuzzification of numerical attributes

Ivan Bruha, Petr Berka, Pavel Kralik, 2000, Intell. Data Anal..

Expert (Knowledge-Based) Systems

Petr Berka, 2015 .

The PKDD Discovery Challenges on Thrombosis Data

Petr Berka, 2001 .

Modelling student dropout using statistical and data mining methods

Petr Berka, Luboš Marek, Michal Vrabec, 2019 .

Adaptive features of machine learning methods

Petr Berka, 2002, Proceedings First International IEEE Symposium Intelligent Systems.

Linked Data Mining Challenge (LDMC) 2013 Summary

Vojtech Svátek, Jindrich Mynarz, Petr Berka, 2013, DMoLD.

Learning Decision Rules using the KEX Procedure

Petr Berka, W. Churchill, 2010 .

Reasoning for Multimedia Analysis

Giorgos Stoilos, Petr Berka, Vassilis Tzouvaras, 2011, Multimedia Semantics.

Atherosclerosis Risk Assessment using Rule-Based Approach

Marie Tomecková, Petr Berka, 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

Improving WWW Access-from Single-Purpose Systems to Agent Architectures?

Vojtech Svátek, Petr Berka, Jirka Kosek, 2000, AIMSA.

Predicting Page Occurrence in a Click-Stream Data: Statistical and Rule-Based Approach

Petr Berka, Martin Labský, P. Berka, 2007, ICDM.

Using Neural Nets to Learn Weights of Rules for Compositional Expert Systems

Petr Berka, Marek Sláma, 1998, IEA/AIE.

Compilation of References

Jan Rauch, Petr Berka, Djamel Abdelkader Zighed, 2009 .

Reality mining: a new subfield of data mining

Petr Berka, 2016 .

Microsoft Data Analyzer 3.5 OLAP pro začátečníky

Petr Berka, 2002 .

Lessons Learned from the ECML/PKDD Discovery Challenge on the Atherosclerosis Risk Factors Data

Jan Rauch, Marie Tomecková, Petr Berka, 2007, Comput. Informatics.

Using the LISp-Miner System for Credit Risk Assessment

Petr Berka, 2016 .

AtherEx: An Expert System for Atherosclerosis Risk Assessment

Marie Tomecková, Petr Berka, Vladimír Las, 2005, AIME.

Discretization of Numerical Attributes for Knowledge Explorer

Petr Berka, 1993 .

Machine Learning and Association Rules

Jan Rauch, Petr Berka, 2010 .

PKDD 2001 Discovery Challenge on Thrombosis Data

Petr Berka, 2001 .