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[BI 94]

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[BR 98]

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[BR 03]

Burian, J. – Rauch, J.: Analysis of Death Causes in the STULONG Data Set. In: BERKA, P. (ed.). Discovery Challenge. Zagreb: IRB, 2003, pp. 47–58. ISBN 953-6690-38-1.

[Bu 03]

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[Bu 04]

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[CDRS 03]

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[Ce 03]

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[GH+−]

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[Ha 66B]

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[Iv 99]

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[Ka 04]

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[Ke 04]

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[KRS 04]

Karban, T. – Rauch, J. – Šimůnek, M.: SDS-Rules and Association Rules.

[LMCL 14]

Šimůnek, M.: LISp-Miner Control Language – Description of scripting language implementation. In: Journal of Systems Integration, Vol 5, No 2 (2014), p. 28–44. ISSN 1804-2724. (download available)

[LRS 02A]

Lín, V. – Rauch, J. – Svátek, V.: Contend-based Retrieval of Analytic Reports. In: SCHROEDER, Michael, WAGNER, Gerd (ed.). Rule Markup Languages for Business Rules on the Semantic Web. Sardinia: ISWC, 2002, pp. 219–224.

[LRS 02B]

Lín, V. – Rauch, J. – Svátek, V.: Analytic Reports from KDD: Integration into Semantic Web. In: ISWC 2002. Cagliari: University of Cagliari, 2002, p. 38.

[LRS 02C]

Lín, V. – Rauch, J. – Svátek, V.: Mining and Querying in Association Rule Discovery. In: KLEMETTINEN, Mika, MEO, Rosa, GIANNOTTI, Fosca, DE RAEDT, Luc (ed.). Knowledge Discovery in Inductive Databases – KDID '02. Helsinki: University of Helsinki, 2002, pp. 97–98. ISBN 952-10-0638-2.

[Ra 71]

Rauch, J.: Application of three-valued logic for GUHA method. Diploma work. Faculty of mathematics and Physics Charles University Prague, 1971 42 pp, (in Czech).

[Ra 78]

Rauch, J.: Some Remarks on Computer Realisations of GUHA Procedures. International Journal of Man-Machine Studies, 10, (1978), pp. 23–28.

[Ra 81]

Rauch, J.: Main Problems and Further Possibilities of the Computer Realizations of GUHA Procedures. International Journal of Man-Machine Studies, 15, 1981, pp. 283–287.

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[PR 81]

Pokorný, J. – Rauch, J.: The GUHA-DBS database system. International Journal of Man-Machine Studies, 15, 1981, pp. 289–298.

[Ra 96]

Rauch, J.: GUHA as a Data Mining Tool. In: Practical Aspects of Knowledge Management. Schweizer Informatiker Gesellshaft Basel, 1996.

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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.

[Ra 98A]

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.

[Ra 98B]

Rauch, J.: Four-fold Table Calculi and Missing Information. In JCIS'98 Proceedings, (Paul P. Wang, editor), Association for Intelligent Machinery, pp. 375-378, 1998.

[Ra 98C]

Rauch, J.: Contribution to Logical Foundations of KDD: Inaugural Dissertation, University of Economics, Prague, 1998. 142 pp., (in Czech).

[Ra 98D]

Rauch, J.: Four-Fold Table Calculi for Discovery Science. In: ARIKAWA, Setsuo, MOTODA, Hiroshi (ed.). Discovery Science. Berlin : Springer, 1998, pp. 405–406. ISBN 3-540-65390-2.

[Ra 99]

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[RS 00]

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[Ra 01A]

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.

[Ra 01B]

Rauch, J.: Association Rules and Mechanizing Hypothesis Formation. Working notes of ECML'2001 Workshop: Machine Learning as Experimental Philosophy of Science.
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[Ra 01C]

Rauch, J.: Mining for Association Rules in Financial Data. In: Seminar on Data Mining for Decision Support in Marketing. Porto : LIACC, 2001.

[Ra 01D]

Rauch, J.: System LISp-Miner – Example of Application. Acta Oeconomica Pragensia, 2001, Vol. 9, No 1, pp. 125–153. ISSN 0572-3043. (In Czech)

[Ra 02A]

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.

[Ra 02B]

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.

[Ra 03]

Rauch, J.: Definability of Association Rules in Predicate Calculus. In: LIN, Tsau Young, HU, Xiaohua, OHSUGA, Setsuo, LIAU, C. J. (ed.). Data mining – Foundations and New Directions in Data Mining. Melbourne: IEEE Computer Society, 2003, pp. 148–155.

[RS 01A]

Rauch, J. – Šimůnek, M.: Mining for 4ft Rules. In: ARIKAWA, Setsuo, MORISHITA, Shinichi (ed.). Discovery Science. Berlin: Springer, 2000, pp. 268–272. ISBN 3-540-41352-9.

[RS 01B]

Rauch, J. – Simunek, 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.

[RS 02]

Rauch, J. – Šimůnek, M.: Alternative Approach to Mining Association Rules. In: LIN, Tsau Young, OHSUGA, Setsuo (ed.). The Foundation of Data Mining and Knowledge Discovery (FDM02). Maebashi: Izumo, 2002, pp. 157–162. ISBN 4-947717-02-6.

[RS 03]

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[RS 04]

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[RSDL 04]

Rauch, J. – Šimůnek, M. – Dolejší, P. – Lín, V.: Data mining procedure KL-Miner. In: SNÁŠEL, Václav (ed.). Znalosti 2004. Ostrava: VŠB TU, 2004, pp. 350–361. ISBN 80-248-0456-5. (In Czech)

[RSL 03]

Rauch, J. – Šimůnek, M. – Lín, V.: Mining for Patterns Based on Contingency Tables by KL-Miner – First Experience. In: LIN, Tsau Young, HU, Xiaohua, OHSUGA, Setsuo, LIAU, C. J. (ed.). Data mining – Foundations and New Directions in Data Mining. Melbourne: IEEE Computer Society, 2003, pp. 156–163.

[RSC 03]

Rauch, J. – Strossa, P. – Černý, Z.: Reporting Data Mining Result in Natural Language. In: LIN, Tsau Young (ed.). Foundations and New Directions in Data Mining: Workshop Notes. Melbourne: IEEE Computer Society, 2003, pp. 164–171.

[Si 03]

Šimůnek, M.: Academic KDD Project LISp-Miner. In: ABRAHAM, A., FRANKE, K., KOPPEN, K. (ed.). Advances in Soft Computing – Intelligent Systems Desing and Applications. Heidelberg: Springer-Verlag, 2003, pp. 263–272. ISBN 3-540-40426-0.

[SSR 04]

Svátek, V. – Štochl, J. – Rauch, J.: Matching Data Mining Methods with MetaData and Problem Descriptions in Recommender Systems. In: SNÁŠEL, Václav (ed.). Znalosti 2004 – poster proceedings. Ostrava: VŠB TU, 2004, pp. 65–68.

[SR 02]

Strossa, P. – Rauch, J.: Association Rules in STULONG and Natural Language. In: BERKA, Petr (ed.). ECML/PKDD-2002 Workshop Proceedings: Discovery Challenge Workshop Notes, Report B-2002-8. Helsinki: Universitas Helsingiensis, 2002. ISBN 952-10-0639-0. ISSN 1458-4786.

[SR 03]

Strossa, P. – Rauch, J.: Converting Association Rules into Natural Language. In: KLOPOTEK, M. A., WIERZCHON, S. T., TROJANOWSKI, K. (ed.). IIPWM'03. Berlin: Springer, 2003, pp. 383–392. ISBN 3-540-00843-8.

[So 03]

Štochl, J.: Data mining in catheterization database. In: SVÁTEK, Vojtěch (ed.). Znalosti 2003. Ostrava: TU Ostrava, 2003, pp. 192–201. ISBN 80-248-0229-5. (In Czech)

[St 04]

Strossa, P.: AR2NL/STULONG: an Experiment with a Simple Natural Language Model for Formulating Association Rules. In: SNÁŠEL, Václav (ed.). Znalosti 2004. Ostrava: VŠB TU, 2004, pp. 210–217. ISBN 80-248-0456-5.

[Ze 96]

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