Faculty of Informatics and Statistics, Department of Information and Knowledge Engineering (DIKE)

Complete listings

The references are stored in the central database of UEP. Search according to the year of publication: 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017. For full text of some papers see homepages of people.

Selected papers from 2003-2007

Separately for papers in books, in journals and in proceedings, all in inverse chronological order.

In books

Svátek V., Rauch J., Ralbovský M.: Ontology-Enhanced Association Mining. In: Ackermann M., Grobelnik M., Mladenič D., Spiliopoulou M., Svátek V., Berendt B., Hotho A., Semeraro G., Stumme G., van Someren M., eds.: Semantics, Web and Mining. Berlin : Springer, 2006, pp 163–179.

Praks P., Machala L., Snášel V.: On SVD-free Latent Semantic Indexing for Iris Recognition of Large Databases (Part V, chapter 24). In: Petrushin V. A,, Khan L. et al.: Multimedia data mining and knowledge discovery. Springer, 2006, pp 472–486.

Eklund P., Karlsson J., Rauch J., Šimůnek M.: On the Logic of Medical Decision Support. In: de Swart H., Orlowska E., Schmidt G., Roubens M. (ed.). Theory and Applications of Relational Structures as Knowledge Instruments II. Berlin : Springer-Verlag, 2006, pp 50–59.

Kavalec M., Svátek V.: A Study on Automated Relation Labelling in Ontology Learning. In: Buitelaar P., Cimiano P., Magnini B., eds.: Ontology learning from text: methods, evaluation and applications. Amsterdam : IOS Press, 2005, pp 44–58.

Rauch J., Šimůnek M.: An Alternative Approach to Mining Association Rules. In: Lin T. Y., Ohsuga S., Liau C. J., Hu X. (Eds.): Foundations and Novel Approaches in Data Mining. Berlin : Springer-Verlag, 2005, pp. 211–231.

Rauch J., Šimůnek M., Lín V.: Mining for Patterns Based on Contingency Tables by KL-Miner – First Experience. In: Lin T. Y. et al., eds.: Foundations of Data Mining and Knowledge Discovery. Berlin : Springer-Verlag, 2005, pp. 155–167. Studies in Computational Intelligence 6/2005.

Rauch J.: Definability of Association Rules in Predicate Calculus. In: Lin T.Y., Ohsuga S., Liau C. J., Hu X. (Eds.): Foundations and Novel Approaches in Data Mining. Berlin : Springer-Verlag, 2005, pp. 23–40.

Rauch J.: Classes of Association Rules, an Overview. In: Lin T.Y., Xie Y. (ed.). Foundation of semantic Oriented Data and Web Mining. IEEE Computer Society, 2005, pp 68–74.

Strossa P., Černý Z., Rauch J.: Reporting Data Mining Results in a Natural Language. In: Lin T. Y. et al., eds.: Foundations of Data Mining and Knowledge Discovery. Berlin : Springer-Verlag, 2005, pp. 347–361. Studies in Computational Intelligence 6/2005.

Hájek P., Rauch J., Coufal D., Feglar T.: The GUHA Method, Data Preprocessing and Mining. In: Meo R., Lanzi P., Klemettinen M., eds.: Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries. Berlin : Springer, 2004, pp 135–153. Lecture Notes in Computer Science 2682/2004.

Hájek P., Holeňa M., Rauch J.: The GUHA Method and Foundations of (Relational) Data Mining. In: Theory and Applications of Relational Structures as Knowledge Instruments. Berlin: Springer–Verlag, 2003.

In journals

Berka P., Rauch J., Tomečková M.: Lesson Learned From The ECML/PKDD Discovery Challenge On The Atherosclerosis Risk Factors Data. Computing and Informatics, 2007, No. 26, pp 329–344.

Svátek V., Vacura M., Labský M., ten Teije A.: Modelling Web Service Composition for Deductive Web Mining. Computing and Informatics, 2007, No. 26, pp 255–279.

Ivánek J.: Combining Implicational Quantifiers for Equivalence Ones by Fuzzy Connectives. International Journal of Intelligent Systems, 2006, Vol. 21, No. 3, pp 325–334.

Ivánek J.: Construction of implicational quantifiers from fuzzy implications. Fuzzy Sets and System, 2005, Vol. 151, No. 2, pp 381–391.

Rauch J.: Logic of Association Rules. Applied Intelligence, 2005, No. 22, pp 9–28.

Berka P., Laš V., Svátek V.: NEST: re-engineering the compositional approach to rule-based inference. Neural Network World, 2004, Vol. 14, No. 5, pp 367–379.

Ivánek J.: Using Fuzzy Logic Operators for Construction of Data Mining quantifiers. Neural Network World, 2004, Vol. 14, No. 5, pp 403–410. ISSN 1210-0552.

Lín V., Dolejší P., Rauch J., Šimůnek M.: The KL-Miner Procedure for Datamining. Neural Network World, 2004, Vol. 14, No. 5, pp 411–420. ISSN 1210-0552.

Svátek V., Růžička M.: Step–by–step formalisation of medical guideline content. International Journal of Medical Informatics, 2003, 70, 2–3, 329–335. Full paper

In proceedings

Publishers include: Springer, IEEE, ACM, IOS Press etc.

Conferences include: ISWC, ESWC, AIME, EKAW, Web Intelligence, Granular Computing, ICDM (Leipzig), IIPWM, MobiMedia, SOFSEM, BIS etc.

Rauch J., Šimůnek M.: Semantic Web Presentation of Analytical Reports from Data Mining – Preliminary Considerations. In: Web Intelligence. Los Alamitos : IEEE Computer Society, 2007, pp 3–7.

Rauch J.: Observational Calculi, Classes of Association Rules and F-property. In: Granular Computing 2007. Los Alamitos : IEEE Computer Society Press, 2007, pp 287–293.

Berka P., Labský M.: Predicting Page Occurrence in a Click-Stream Data: Statistical and Rule-Based Approach. In: Perner P. (ed.). Advances in Data Mining - ICDM 2007. Berlin : Springer, 2007, pp 135–147. Lecture Notes in Computer Science 4597.

Ralbovský M., Kuchař T. : Using Disjunctions in Association Mining. In: Advances in Data Mining - ICDM 2007. Berlin : Springer Verlag, 2007, pp 339–351.

Arndt R., Troncy R., Staab S., Hardman L., Vacura M.: COMM: Designing a Well-Founded Multimedia Ontology for the Web. In: The Semantic Web, ISWC 2007. Berlin : Springer-Verlag, 2007, pp 30–43.

Šváb O., Svátek V., Stuckenschmidt H.: A Study in Empirical and 'Casuistic' Analysis of Ontology Mapping Results. In: The Semantic Web: Research and Applications - ESWC 2007. Berlin : Springer, 2007, pp 656–669.

Nemrava J., Buitelaar P., Svátek V., Declerck T.: Event Alignment For Cross-Media Feature Extraction In The Football Domain. In: WIAMIS'07, Santorini : IEEE Computer Society, 2007.

Stamatakis K., Metsis V., Karkaletsis V., Růžička M., Svátek V., Cabrera E. A., Pöllä M., Spyropoulos C.: Content Collection for the Labelling of Health-Related Web Content. In: Artificial Intelligence in Medicine - AIME 2007. Berlin : Springer-Verlag, 2007, pp 341–345. Lecture Notes in Computer Science 4594.

Praks P., Černohorský J., Svátek V., Vacura M.: Human Expert Modelling Using Semantics-Oriented Video Retrieval for Surveillance in Hard Industry. In: MobiMedia 2006, ACM, 2006.

Rauch J.: Many Sorted Observational Calculi for Multi-Relational Data Mining. In: Data Mining – Workshops. Piscataway : IEEE Computer Society, 2006, pp 417–422.

Berka P., Laš V., T.: Rule Induction for Click-Stream Analysis: Set Covering and Compositional Approach. Gdansk 13.07.2005 – 16.07.2005. In: Klopotek M.A., Wierzchon S.T., Trojanowski K. (ed.). Intelligent Information Processing and Web Mining. Berlin : Springer-Verlag, 2005, pp 13–22.

Labský M., Svátek V., Šváb O., Praks P., Krátký M., Snášel V.: Information Extraction from HTML Product Catalogues: from Sorce Code and Images to RDF. In: Skowron A., Agrawal R., Luck M., Yamaguchi T., Morizet-Mahoudeaux P., Liu J., Zhong N.(ed.). Web Intelligence 2005. Los Alamitos : IEEE, 2005, pp 401–404.

Berka P., Laš V., Tomečková M.: AtherEx: An Expert System for Atherosclerosis Risk Assessment. In: Miksch S., Hunter J., Keravnou E. (ed.). Artificial Intelligence in Medicine - AIME 2005. Berlin : Springer-Verlag, 2005, pp 79–88. Lecture Notes in Computer Science 3581/2005.

Rauch J., Šimůnek M.: GUHA Method and Granular Computing. In: Hu X., Liu Q., Skowron A., Lin T.Y., Yager R.R., Zang B. (ed.). IEEE 2005. Piscataway : IEEE, 2005, pp 630–635.

Rauch J.: Definability of Association Rules and Tables of Critical Frequencies. In: Lin T.Y., Smale S., Poggio T., Liau C.J. (ed.). Data Mining. Brighton : IEEE Computer Society, 2004.

Růžička M., Svátek V.: Mark-up based analysis of narrative guidelines with the Stepper tool. In: Kaiser K., Miksch S., Tu S.W. (ed.). Computer-Based Support for Clinical Guidelines and Protocols. Amsterdam : IOS Press, 2004, pp 132–136.

Svátek V.: Design Patterns for Semantic Web Ontologies: Motivation and Discussion. In: Abramowicz W.(ed.). Business Information Systems – BIS 2004. Poznan : Wydawnictwo Akademii Ekonomicznej w Poznaniu, 2004, pp 437–446.

Svátek V., Říha A., Peleška J., Rauch J.: Analysis of guideline compliance – a data mining approach. In: Kaiser K., Miksch S., Tu S.W. (ed.). Computer-Based Support for Clinical Guidelines and Protocols. Amsterdam : IOS Press, 2004, pp 157–161.

Svátek V., Labský M., Vacura M.: Knowledge Modelling for Deductive Web Mining. In: Motta E., Shadbolt N., Stutt A., Gibbins N. (ed.). Engineering Knowledge in the Age of the Semantic Web – EKAW 2004. Berlin : Springer-Verlag, 2004, pp 337–353. Lecture Notes in Computer Science 3257/2004.

Kavalec M., Maedche A., Svátek V.: Discovery of Lexical Entries for Non-taxonomic Relations in Ontology Learning. In: van Emde Boas P., Pokorný J., Bieliková M., Štuller J. (ed.): SOFSEM 2004. Berlin : Springer-Verlag, 2004, pp 249–256. Lecture Notes in Computer Science 2932/2003.

Rauch J.: Definability of Association Rules in Predicate Calculus In: Data mining — Foundations and New Directions in Data Mining. Melbourne, IEEE Computer Society, 2003

Rauch J., Šimůnek M., Lin V.: Mining for Patterns Based on Contingency Tables by KL–Miner First Experience In: Data mining — Foundations and New Directions in Data Mining. Melbourne, IEEE Computer Society, 2003

Rauch J., Strossa P., Černý Z.: Reporting Data Mining Result in Natural Language In: Data mining — Foundations and New Directions in Data Mining. Melbourne, IEEE Computer Society, 2003

Strossa P., Rauch J.: Converting Association Rules into Natural Language In: New Trends in Intelligent Information Processing and Web Mining (IIPWM'03), Zakopane 2003. Springer–Verlag, "Advances in Soft Computing" series, 2003, 383–392. ISBN 3-540-00843-8

Svátek V., Berka P., Kavalec M., Kosek J., Vávra V.: Discovering company descriptions on the web by multiway analysis In: New Trends in Intelligent Information Processing and Web Mining (IIPWM'03), Zakopane 2003. Springer–Verlag, "Advances in Soft Computing" series, 2003. Full paper

Svátek V., Kosek J., Labský M., Bráza J., Kavalec M., Vacura M., Vávra V., Snášel V.: Rainbow – Multiway Semantic Analysis of Websites In: 2nd International DEXA Workshop on Web Semantics (WebS03), Prague 2003, IEEE Computer Society Press. Full paper

Powered by Resource Description Framework (RDF)