e-mail: rauch@vse.cz
phone: (+420) 224
095 463
Education and titles:
Current affiliation:
Research interest:
Data mining and KDD, GUHA method, observational calculi, applications of domain knowledge in KDD, association rulesEditorial boards:
Home -- Conferences -- Research projects -- Selected publications -- Co-editor -- Journal papers -- Book chapters -- Conference proceedings
Home -- Conferences -- Research projects -- Selected publications -- Co-editor -- Journal papers -- Book chapters -- Conference proceedings
Home -- Conferences -- Research projects -- Selected publications -- Co-editor -- Journal papers -- Book chapters -- Conference proceedings
Selected publications (out of more than 150):
Lectures Notes in Computer Science;1704, Springer – Verlag 1999 Proceedings of PKDD’99 - Third European Conference on Principles of Data Mining and Knowledge Discovery. Editors: Jan M. Zytkow and Jan Rauch
Lectures Notes in Computer Sciencen; 5722, Springer – Verlag 2009 Proceedings of ISMIS 2009 - 18th International Symposium on Foundations of Intelligent Systems. Editors: Jan Rauch, Zbigniew W. Ras, Petr Berka and Tapio Elomaa
Data Mining and Medical Knowledge Management: Cases and Applications. Hershey : IGI Global, 2009. Editors: Petr Berka, Jan Rauch and Djamel Abdelkader Zighed
Home -- Conferences -- Research projects -- Selected publications -- Co-editor -- Journal papers -- Book chapters -- Conference proceedings
Hájek, P. - Holeňa, M. - Rauch, J.: The GUHA Method and its Meaning for Data Mining. Journal of Computer and System Sciences, 2010, No. 1, 34 – 48
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, 329 – 344
Rauch, J.: Logic of Association Rules. Applied Intelligence, 2005, No. 22, 9 - 28
Rauch, J.: Main Problems and Further Possibilities of the Computer Realizations of GUHA procedures. International Journal of Man-Machine Studies, 1981, No. 3, 283 – 287
Rauch, J.: Some Remarks on Computer Realizations of GUHA procedures. International Journal of Man-Machine Studies, 1978, No. 1, 23 – 28
Rauch, J.: Ein Beitrag zu der GUHA method in der dreivertigen logic. Kybernetika, 1975, No. 2, 101 – 113
Rauch, J.: Logical Aspects of the Measures of Interestingness of Association Rules In: Koronacki, J. – Ras, Z. W. – Wierzchon, S.– Kacprzyk, J. (eds.): Advances in Machine Learning II. Studies in Computational Intelligence 263/2010. Berlin: Springer, 2010, 175 – 206.
Rauch, J.: Considerations on Logical Calculi for Dealing with Knowledge in Data Mining. In: Ras, Z. W. – Dardzinska, A. (eds.): Advances in Data Management. Studies in Computational Intelligence 223/2009. Berlin: Springer, 2010, 177 – 201.
Rauch, J.: The GUHA method and observational calculi: tools for data mining. In: Cintula, P. - Haniková, Z. - Švejdar, V. (eds.): Witnessed Years – Essays in Honour of Petr Hájek. London : College Publications, 2009, 103 – 127
Rauch, J. – Šimůnek, M.: Dealing with Background Knowledge in the SEWEBAR Project. In: Berendt, B. - Mladenič, D. Gemmis, M.- Semeraro, G. - Spiloopoulou, M. - Stumme, G. - Svátek, V. - Železný, F. (eds.): Knowledge Discovery Enhanced with Semantic and Social Information. Berlin : Springer-Verlag, 2009, 89–106
Rauch, J.: Definability of Association Rules and Tables of Critical Frequencies. In: Lin, T. Y. - Xie, Y. - Wasilevska, A. - Liau, Ch. J. (eds.): Data Mining: Foundations and Practice. Berlin : Springer, 2008, 299 – 313
Rauch, J.: Classes of Association Rules: An Overview. In: Lin, T. Y. - Xie, Y. - Wasilevska, A. - Liau, Ch. J. (eds.): Data Mining: Foundations and Practice. Berlin : Springer, 2008, 315 – 337
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, 2005, 23 – 40
Rauch, J. – Šimůnek, M.: An Alternative Approach to Mining Association Rules. In: Lin, T. Y. – Ohsuga, S. – Liau, C. J. – Hu, X. – Tsumoto, S. (ed.): Foundations of Data Mining and Knowledge Discovery. Berlin: Springer, 2005, 211 – 231
Rauch, J. – Šimůnek, M. – Lín, V.: Mining for Patterns Based on Contingency Tables by KL-Miner – First Experience. In: Lin, T. Y. – Ohsuga, S. – Liau, C. J. – Hu, X. (eds.): Foundations and Novel Approaches in Data Mining. Berlin: Springer, 2005, 155 – 167
Hájek, P. - Holeňa, M. - Rauch, J.: The GUHA Method and Foundations of (Relational) Data Mining. In De Swart, H. - ORLOWSKA, E. - Schmidt, G. - Roubens, M. (eds.). Theory and Applications of Relational Structures as Knowledge Instruments. Lecture Notes in Computer Science 2929/2004. Berlin : Springer-Verlag, 2003, 17–37
Strossa, P. – Černý, Z. – Rauch, J.: Reporting Data Mining Results in a Natural Language. In: Lin, T. Y. – Ohsuga, S. – Liau, C. J. – Hu, X. – Tsumoto, S. (ed.): Foundations of Data Mining and Knowledge Discovery. Studies in Computational Intelligence 6/2005. Berlin : Springer, 2005, 347–361
Home -- Conferences -- Research projects -- Selected publications -- Co-editor -- Journal papers -- Book chapters -- Conference proceedings
Rauch, J.: Project SEWEBAR – Considerations on Semantic Web and Data Mining.. In: IICAI-07 [CD-ROM]. Tallahassee : Florida A&M University, 2007, 1763 – 1782
Rauch, J.: Observational Calculi, Classes of Association Rules and F-property.. In: Granular Computing 2007. Los Alamitos : IEEE Computer Society Press, 2007, 287 – 293
Rauch, J. – Šimůnek, M.: Semantic Web Presentation of Analytical Reports from Data Mining – Preliminary Considerations. In: WEB INTELLIGENCE. Los Alamitos : IEEE Computer Society, 2007, 3–7. e: 50%]
Rauch, J.: Many Sorted Observational Calculi for Multi-Relational Data Mining.. In: Data Mining – Workshops. Piscataway : IEEE Computer Society, 2006, 417 – 422
Rauch, J. – Šimůnek, M.: GUHA Method and Granular Computing. In: Hu, X. – Liu, Q. – Skowron, A. – Lin, T. Y. – Yaget, R. – Zhang, B. (eds.).: Procedings of IEEE Conference on Granular Computing 2005, Piscataway : IEEE Computer Society, 2005, 630 – 635
Strossa, P. – Rauch, J.: Converting Association Rules into Natural Language. In: Klopotek, M. A. – Wierzchon, S. T. – Trojanovski, K. (eds.). Proceedings of IIPWM'03. Berlin : Springer, 2003, pp. 383 – 392
Rauch, J.: Mining for Scientific Hypotheses. In Meij, J. (Editor): Dealing with the data flood. Mining Data, Text and Multimedia. STT/Beweton, The Hague. 2002, 73 – 84
Rauch, J. – Šimůnek, M.: Mining for 4ft Association Rules by 4ft-Miner. In: INAP 2001, The Proceeding of the International Conference On Applications of Prolog. Prolog Association of Japan, Tokyo, 2001, 285–294.
Rauch, J. – Šimůnek, M.: Mining for 4ft Association Rules. In: Arikawa, S. – Morishita, S. (eds.) Discovery Science. Berlin : Springer, 2000, 268–272.
Rauch, J.: Four-Fold Table Calculi and Missing Information. In: JCIS'98 Proceedings Vol II. Ed. Wang Paul. Association for Intelligent Machinery 1998 pp. 375 – 378.
Rauch, J.: Classes of Four-Fold Table Quantifiers. In: Zytkow, J.- Quafafou, M. (eds.) Principles of Data Mining and Knowledge Discovery. Heidelberg : Springer, 1998, 203–211
Rauch, J.: Logical Calculi for Knowledge Discovery in Databases . In: Komorowski, J. – Zytkow, J. (eds.) Principles of Data Mining and Knowledge Discovery. Berlin, Springer Verlag 1997, 47 – 57.
Rauch, J.: GUHA as a Data Mining Tool . In: Practical Aspects of Knowledge Management. Basel : Schweizer Informatiker Gesellschaft, 1996
Rauch, J.: Logical problems of Statistical Data Analysis in Data Bases . In: Proceedings of the Eleventh International Seminar on Data Base Management Systems. Central Statistical Office, Budapest, 1988, 53 - 63
Home -- Conferences -- Research projects -- Selected publications -- Co-editor -- Journal papers -- Book chapters -- Conference proceedings