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Petr Berka
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2020 – today
- 2023
- [j11]Pavel Strnad, Lukás Svarc, Petr Berka:
Synthetic dataset generator for anomaly detection in a university environment. Intell. Data Anal. 27(2): 417-422 (2023) - [j10]Gollam Rabby
, Petr Berka
Multi-class classification of COVID-19 documents using machine learning algorithms. J. Intell. Inf. Syst. 60(2): 571-591 (2023) - 2022
- [c23]Gollam Rabby, Vojtech Svátek, Petr Berka:
Augmenting a COVID-19 Research Knowledge Graph with Influential Papers Prediction. SEMANTiCS (Posters & Demos) 2022 - [c22]Petr Berka
Towards Tailored Intervention in Medicine Using Patients' Segmentation. ISMIS 2022: 421-429 - 2020
- [j9]Petr Berka
Sentiment analysis using rule-based and case-based reasoning. J. Intell. Inf. Syst. 55(1): 51-66 (2020)
2010 – 2019
- 2018
- [j8]Petr Berka:
Comprehensive concept description based on association rules: A meta-learning approach. Intell. Data Anal. 22(2): 325-344 (2018) - 2016
- [j7]Petr Berka:
Practical Aspects of Data Mining Using LISp-Miner. Comput. Informatics 35(3): 528-554 (2016) - 2015
- [c21]Petr Berka:
Data Cleansing Using Clustering. ICMMI 2015: 391-399 - [c20]Petr Berka, Josef Jablonsky
Analysis of Neurosurgery Data Using Statistical and Data Mining Methods. MICAI (2) 2015: 310-321 - 2013
- [c19]Vojtech Svátek, Jindrich Mynarz, Petr Berka:
Linked Data Mining Challenge (LDMC) 2013 Summary. DMoLD 2013 - [c18]Petr Berka:
Towards Comprehensive Concept Description Based on Association Rules. IDA 2013: 80-91 - [e2]Claudia d'Amato, Petr Berka, Vojtech Svátek, Krzysztof Wecel:
Proceedings of the International Workshop on Data Mining on Linked Data, with Linked Data Mining Challenge collocated with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2013), Prague, Czech Republic, September 23, 2013. CEUR Workshop Proceedings 1082, CEUR-WS.org 2013 [contents] - 2012
- [j6]Petr Berka:
Learning compositional decision rules using the KEX algorithm. Intell. Data Anal. 16(4): 665-681 (2012) - 2011
- [j5]Petr Berka:
NEST: A Compositional Approach to Rule-Based and Case-Based Reasoning. Adv. Artif. Intell. 2011: 374250:1-374250:15 (2011) - [j4]Tapio Elomaa
Special issue on data analysis methodologies for intelligent systems: guest editor's introduction. J. Intell. Inf. Syst. 37(3): 291-292 (2011) - [c17]Petr Berka:
ETree Miner: A New GUHA Procedure for Building Exploration Trees. ISMIS 2011: 96-101 - [p1]Nikolaos Simou, Giorgos Stoilos, Carsten Saathoff, Jan Nemrava, Vojtech Svátek, Petr Berka, Vassilis Tzouvaras:
Reasoning for Multimedia Analysis. Multimedia Semantics 2011: 183-204 - 2010
- [c16]Petr Berka, Jan Rauch:
Meta-learning for Post-processing of Association Rules. DaWak 2010: 251-262 - [c15]Petr Berka, Jan Rauch:
Mining and Post-processing of Association Rules in the Atherosclerosis Risk Domain. ITBAM 2010: 110-117
2000 – 2009
- 2009
- [e1]Jan Rauch, Zbigniew W. Ras, Petr Berka, Tapio Elomaa:
Foundations of Intelligent Systems, 18th International Symposium, ISMIS 2009, Prague, Czech Republic, September 14-17, 2009. Proceedings. Lecture Notes in Computer Science 5722, Springer 2009, ISBN 978-3-642-04124-2 [contents] - 2008
- [c14]Petr Berka, Marie Tomecková:
Atherosclerosis Risk Assessment using Rule-Based Approach. CBMS 2008: 260-265 - 2007
- [j3]Petr Berka, Jan Rauch, Marie Tomecková:
Lessons Learned from the ECML/PKDD Discovery Challenge on the Atherosclerosis Risk Factors Data. Comput. Informatics 26(3): 329-344 (2007) - [c13]Petr Berka, Martin Labský:
Predicting Page Occurrence in a Click-Stream Data: Statistical and Rule-Based Approach. ICDM 2007: 135-147 - 2006
- [c12]Petr Berka, Thanos Athanasiadis, Yannis Avrithis:
Rule-based Reasoning for Semantic Image Segmentation and Interpretation. SAMT (Posters and Demos) 2006 - 2005
- [c11]Petr Berka, Vladimír Las, Marie Tomecková:
AtherEx: An Expert System for Atherosclerosis Risk Assessment. AIME 2005: 79-88 - [c10]Petr Berka, Vladimír Las, Tomás Kocka:
Rule Induction for Click-Stream Analysis: Set Covering and Compositional Approach. Intelligent Information Systems 2005: 13-22 - 2003
- [c9]Vojtech Svátek, Petr Berka, Martin Kavalec, Jirí Kosek, Vladimír Vávra:
Discovering Company Descriptions on the Web by Multiway Analysis. IIS 2003: 111-118 - 2002
- [c8]Tomás Kroupa, Petr Berka, Tomás Kocka:
WISECON - An Intelligent Assistant for Buying Computers on the Internet. ISMIS 2002: 167-175 - 2000
- [j2]Ivan Bruha, Pavel Kralik, Petr Berka:
Genetic learner: Discretization and fuzzification of numerical attributes. Intell. Data Anal. 4(5): 445-460 (2000) - [c7]D. Sramek, Petr Berka, Jirka Kosek, Vojtech Svátek:
Improving WWW Access-from Single-Purpose Systems to Agent Architectures? AIMSA 2000: 167-178 - [c6]Vojtech Svátek, Petr Berka:
URL as starting point for WWW document categorization. RIAO 2000: 1693-1702
1990 – 1999
- 1998
- [j1]Petr Berka, Ivan Bruha:
empirical Comparison of Various Discretization Procedures. Int. J. Pattern Recognit. Artif. Intell. 12(7): 1017-1032 (1998) - [c5]Petr Berka, Marek Sláma:
Using Neural Nets to Learn Weights of Rules for Compositional Expert Systems. IEA/AIE (Vol. 1) 1998: 511-519 - [c4]Petr Berka, Ivan Bruha:
Discretization and Grouping: Preprocessing Steps for Data Mining. PKDD 1998: 239-245 - 1997
- [c3]Petr Berka:
Recognizing Reliability of Discovered Knowledge. PKDD 1997: 307-314 - 1994
- [c2]Petr Berka, Jirí Ivánek:
Automated Knowledge Acquisition for PROSPECTOR-like Expert Systems. ECML 1994: 339-342
1980 – 1989
- 1989
- [c1]Jirí Ivánek
Knowledge Engineering Research and Training at the Department of Scientifioc and Technical Information, Prague School of Economics. Artificial Intelligence in Higher Education 1989: 63-70
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