Semantic web presentation of analytical reports from data mining - Preliminary considerations

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007

Volumn , Issue , 2007, Pages 3-10

  Rauch, Jan ^a   Šimůnek, Milan ^a  

^a UNIVERSITY OF ECONOMICS   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; DATA MINING; DECISION SUPPORT SYSTEMS; INFORMATION MANAGEMENT; INFORMATION THEORY; MINING; SEARCH ENGINES; SEMANTICS;

ANALYTICAL REPORTS; INTERNATIONAL CONFERENCES; WEB INTELLIGENCE;

SEMANTIC WEB;

EID: 48349106990     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WI.2007.95     Document Type: Conference Paper

References (16)

1. Mareš R et al. (2002) User interfaces of the medical systems - the demonstration of the application for the data collection within the frame of the minimal data model of the cardiology patient. Cor et Vasa, Vol. 44, No. 4 Suppl., pp. 76 (in Czech)
2. Aggravai R et al. (1996) Fast Discovery of Association Rules. In: Fayyad, U. M. et al.(eds) Advances in Knowledge Discovery and Data Mining. AAAI Press
3. Hájek P, Havránek T (1978) Mechanising Hypothesis Formation - Mathematical Foundations for a General Theory. Springer, Berlin Heidelberg New York
4. Lín V, Rauch J, Svátek, V (2002) Contend-based Retrieval of Analytic Reports. In: Schroeder M, Wagner G (eds.) Rule Markup Languages for Business Rules on the Semantic Web. Sardinia: ISWC, pp. 219-224.
5. Lín V, Rauch J, Svátek, V (2002) Analytic Reports from KDD: Integration into Semantic Web. In: ISWC 2002. Cagliari : University of Cagliari,p. 38.
6. Lin V, Rauch J, Svátek, V (2002) Mining and Querying in Association Rule Discovery. In: Klemettinen, M. et al (eds.).: Knowledge Discovery in Inductive Databases - KDID '02. University of Helsinki, 2002, pp. 97-98.
7. Rauch J (1997) Logical Calculi for Knowledge Discovery in Databases, in Proc. Principles of Data Mining and Knowledge Discovery, Springer-Verlag, pp. 47-57
8. Rauch J (2005) Logic of Association Rules. Applied Intelligence 22, pp. 9-28.
9. Rauch J: Project SEWEBAR - Considerations on Semantic Web and Data Mining. Accepted for 3rd Indian International Conference on Artificial Intelligence
10. Rauch J, Šimůnek M (2005) An Alternative Approach to Mining Association Rules. In: Lin T Y et al. (eds) Data Mining: Foundations, Methods, and Applications, Springer-Verlag, pp. 219-238
11. Rauch J, Šimůnek M (2005): GUHA Method and Granular Computing. In: HU, X et al. (ed.). Proceedings of IEEE conference Granular Computing 2005.
12. Rauch J, Šimůnek M (2007) Dealing with Background Knowledge in the SEWEBAR Project. Accepted for ECML/PKDD 2007 Workshop: Prior Conceptual Knowledge in Machine Learning and Knowledge Discovery
13. Rauch J, Tomečková M (2007) System of Analytical Questions and Reports on Mining in Health Data - a Case Study. In Roth J. et al. (eds) Proceedings of IADIS European Conference Data Mining 2007. IADIS Press
14. Shearring H A, Christian B C (1967) Reports and how to write them. Georg Allen and Unwin Ltd. London
15. Strossa P, Černý Z, Rauch, J (2005) Reporting Data Mining Results in a Natural Language. In: Lin T Y et al. (ed.) Foundations of Data Mining and Knowledge Discovery. Berlin : Springer, pp. 347-362
16. Tomečková M (2002): Minimal data model of the cardiology patient - the selection of data. Cor et Vasa, Vol. 44, 2002, No. 4 Suppl.,pp. 123 (in Czech)