Doc. RNDr. Jan Rauch, CSc.

e-mail: rauch@vse.cz
phone: (+420) 224 095 463

Education and titles:

• 1999: Doc.: Faculty of Informatics and Statistics, University of Economics, Informatics
• 1987: CSc.: Mathematical Institute of the Czechoslovak Academy of Sciences, Mathematical logic
• 1978: RNDr.: Faculty of Mathematics and Physics, Charles University in Prague, Mathematical logic
• 1966–1972: Faculty of Mathematics and Physics, Charles University in Prague, Numerical mathematics

Current affiliation:

• Head of the EuroMISE department
of University of Economics, Prague
• Member of the Department of Information and Knowledge Engineering
of University of Economics, Prague

Other activities:

• Member of Advisory Committee ECML and PKDD 2001
• Member of Steering Committee PKDD
• Workshop Chair of the conference PKDD – 2000 – 4^th European Conference on Principles of Data Mining and Knowledge Discovery in Databases, Lyon
• Program Co-chair of the conference PKDD'99 – 3^rd European Conference on Principles and Practice of Knowledge Discovery in Databases, Prague
• Editor of Proceedings of PKDD'99: Lectures Notes in Artificial Intelligence 1704,Springer – Verlag 1999, 593 pp (together with Prof. J. Zytkow)
• Member of Program Committees of conferences and workshops:
  • PKDD - European Conference on Principles and Practice of Knowledge Discovery in Databases   PKDD – 2000, PKDD – 2001, PKDD – 2002, PKDD – 2003, PKDD – 2004, PKDD – 2005,
  • International Conference on Discovery Science   Discovery Science 2003, Discovery Science 2004, Discovery Science 2005
  • IEEE International Conference on Granular Computing 2005 
  • 2005 ACM Symposium on Applied Computing - Special Track on Data Mining (DM)
  • New Trends in Intelligent Information Processing and Web Mining   IIPWM 2003,   IIPWM 2004, IIPWM 2005
  • ICDM Workshop - Foundations and New Directions of Data Mining   2002, 2003 and 2004,  
  • International Symposium on Methodologies for Intelligent Systems ISMIS   2002 and 2005
  • X International Conference on Artificial Intelligence  AI-19'2004
• Activities concerning Czech national conferences and seminars Znalosti 2004 (Conference on Knowledge, 2004), Znalosti 2003 (Conference on Knowledge, 2003), Znalosti 2001 (Conference on Knowledge, 2001), DZD 2000 (Seminar on Data Mining, 2000) and DZD 1999 (Seminar on Data Mining, 1999).

Selected projects:

• Academic software system LISp-Miner for Knowledge Discovery in Databases

Selected publications:

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

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

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. (ed.): Foundations and Novel Approaches in Data Mining. Berlin: Springer, 2005, pp. 155 – 167

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, pp. 211 – 232

Strossa,  P. – Θernύ, 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. Berlin : Springer, 2005, pp. 347–362

Rauch, J. – Šimůnek, M.: GUHA Method and Granular Computing. In: Hu, X. – LIU, Q. – Skowron, A. – LIN, T. Y. – YAGER, R. – Zang, B. (ed.).: Procedings of IEEE Conference on Granular Computing 2005, s. 630–635

Strossa,  P. – Rauch, J.: Converting Association Rules into Natural Language. In: Klopoek, M. A. – Wierzchon, S. T. – Trojanovski, K. (ed.). 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. pp. 73–84.

Rauch, J.: Interesting Association Rules and Multi-relational Association Rules. Communications of Institute of Information and Computing Machinery, Taiwan. Vol. 5, No. 2, May 2002. pp. 77–82.

Lín, V. – Rauch, J. – Svátek, V.: Content-based Retrieval of Analytic Reports. Accepted for: International Workshop on Rule Markup Languages for Business Rules on the Semantic Web. Sardinia, pp. 219–224.

Rauch, J.: Mining for Statistical Association Rules. In The Fifth Pacific-Asia Conference on Knowledge Discovery and Data Mining Industrial Track and Workshop Proceeding Red. Joseph Fong ang Michael Ng, Hong Kong 2001, pp. 149–158.

Rauch, J.: Association Rules and Mechanizing Hypothesis Formation. Working notes of ECML'2001 Workshop: Machine Learning as Experimental Philosophy of Science.

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 October 2001, pp. 285–294.

Rauch, J. – Šimůnek, M.: Mining for 4ft Association Rules. In Discovery Science 2000. Red. Arikawa, S. – Morishita, S. Springer Verlag 2000, pp. 268–272.

Rauch, J.: Four-Fold Table Calculi for Discovery Science. In: Discovery Science. Eds. Arikawa, Setsuo – Motoda Hirishi. Berlin, Springer-Verlag 1998, pp. 405–406.

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 Principles of Data Mining and Knowledge Discovery. Red. Zytkow, J. – Quafafou, M. Berlin, Springer-Verlag 1998, pp. 203–211.

Rauch, J. – Berka, P.: Mining in Financial Data – a Case Study, Neural Network World 4,5/97, pp. 427–437.

Rauch, J.: Logical Calculi for Knowledge Discovery in Databases. In Principles of Data Mining and Knowledge Discovery. Red. Komorowski, J. – Zytkow, J. Berlin, Springer Verlag 1997, pp. 47–57.