Knowledge Engineering Research and Training at the Department of Scientifioc and Technical Information, Prague School of Economics. - Jirí Ivánek; Petr Berka; Jan Ferjencík; B. Stejskal (Artificial Intelligence in Higher Education, 1989)

Automated Knowledge Acquisition for PROSPECTOR-like Expert Systems. - Petr Berka; Jirí Ivánek (ECML, 1994)

Recognizing Reliability of Discovered Knowledge. - Petr Berka (PKDD, 1997)

Using Neural Nets to Learn Weights of Rules for Compositional Expert Systems. - Petr Berka; Marek Sláma (IEA/AIE (Vol. 1), 1998)

Discretization and Grouping: Preprocessing Steps for Data Mining. - Petr Berka; Ivan Bruha (PKDD, 1998)

empirical Comparison of Various Discretization Procedures. - Petr Berka; Ivan Bruha (Int. J. Pattern Recognit. Artif. Intell., 1998)

Improving WWW Access-from Single-Purpose Systems to Agent Architectures? - D. Sramek; Petr Berka; Jirka Kosek; Vojtech Svátek (AIMSA, 2000)

URL as starting point for WWW document categorization. - Vojtech Svátek; Petr Berka (RIAO, 2000)

Genetic learner: Discretization and fuzzification of numerical attributes. - Ivan Bruha; Pavel Kralik; Petr Berka (Intell. Data Anal., 2000)

WISECON - An Intelligent Assistant for Buying Computers on the Internet. - Tomás Kroupa; Petr Berka; Tomás Kocka (ISMIS, 2002)

Discovering Company Descriptions on the Web by Multiway Analysis. - Vojtech Svátek; Petr Berka; Martin Kavalec; Jirí Kosek; Vladimír Vávra (IIS, 2003)

AtherEx: An Expert System for Atherosclerosis Risk Assessment. - Petr Berka; Vladimír Las; Marie Tomecková (AIME, 2005)

Rule Induction for Click-Stream Analysis: Set Covering and Compositional Approach. - Petr Berka; Vladimír Las; Tomás Kocka (Intelligent Information Systems, 2005)

Rule-based Reasoning for Semantic Image Segmentation and Interpretation. - Petr Berka; Thanos Athanasiadis; Yannis Avrithis (SAMT (Posters and Demos), 2006)

Predicting Page Occurrence in a Click-Stream Data: Statistical and Rule-Based Approach. - Petr Berka; Martin Labský (ICDM, 2007)

Lessons Learned from the ECML/PKDD Discovery Challenge on the Atherosclerosis Risk Factors Data. - Petr Berka; Jan Rauch; Marie Tomecková (Comput. Informatics, 2007)

Atherosclerosis Risk Assessment using Rule-Based Approach. - Petr Berka; Marie Tomecková (CBMS, 2008)

Meta-learning for Post-processing of Association Rules. - Petr Berka; Jan Rauch (DaWak, 2010)

Mining and Post-processing of Association Rules in the Atherosclerosis Risk Domain. - Petr Berka; Jan Rauch (ITBAM, 2010)

Reasoning for Multimedia Analysis. - Nikolaos Simou; Giorgos Stoilos; Carsten Saathoff; Jan Nemrava; Vojtech Svátek; Petr Berka; Vassilis Tzouvaras (Multimedia Semantics, 2011)

ETree Miner: A New GUHA Procedure for Building Exploration Trees. - Petr Berka (ISMIS, 2011)

NEST: A Compositional Approach to Rule-Based and Case-Based Reasoning. - Petr Berka (Adv. Artif. Intell., 2011)

Special issue on data analysis methodologies for intelligent systems: guest editor's introduction. - Tapio Elomaa; Petr Berka; Jan Rauch (J. Intell. Inf. Syst., 2011)

Learning compositional decision rules using the KEX algorithm. - Petr Berka (Intell. Data Anal., 2012)

Linked Data Mining Challenge (LDMC) 2013 Summary. - Vojtech Svátek; Jindrich Mynarz; Petr Berka (DMoLD, 2013)

Towards Comprehensive Concept Description Based on Association Rules. - Petr Berka (IDA, 2013)

Data Cleansing Using Clustering. - Petr Berka (ICMMI, 2015)

Analysis of Neurosurgery Data Using Statistical and Data Mining Methods. - Petr Berka; Josef Jablonsky; Lubos Marek; Michal Vrabec (MICAI (2), 2015)

Practical Aspects of Data Mining Using LISp-Miner. - Petr Berka (Comput. Informatics, 2016)

Comprehensive concept description based on association rules: A meta-learning approach. - Petr Berka (Intell. Data Anal., 2018)

Sentiment analysis using rule-based and case-based reasoning. - Petr Berka (J. Intell. Inf. Syst., 2020)

Augmenting a COVID-19 Research Knowledge Graph with Influential Papers Prediction. - Gollam Rabby; Vojtech Svátek; Petr Berka (SEMANTiCS (Posters & Demos), 2022)

Towards Tailored Intervention in Medicine Using Patients' Segmentation. - Petr Berka; Maciej Pondel; David Chudán; Agnieszka Siennicka (ISMIS, 2022)

Synthetic dataset generator for anomaly detection in a university environment. - Pavel Strnad; Lukás Svarc; Petr Berka (Intell. Data Anal., 2023)

Multi-class classification of COVID-19 documents using machine learning algorithms. - Gollam Rabby; Petr Berka (J. Intell. Inf. Syst., 2023)