Mining for patterns based on contingency tables by KL-Miner - First experience

Studies in Computational Intelligence

Volumn 9, Issue , 2006, Pages 155-167

  Rauch, Jan ^a,b   Šimůnek, Milan ^b,c   Lín, Václav ^b  

^a EuroMISE Centrum Cardio   (United States)

^b Department of Information Technology ^*  (Czech Republic)

^c UNIVERSITY OF ECONOMICS   (Czech Republic)

Author keywords

contingency tables; Data mining; statistical patterns; system LISp Miner

Indexed keywords

EID: 78049269957     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/11539827-9     Document Type: Conference Paper

References (7)

1. Hájek P, Havránek T (1978) Mechanising Hypothesis Formation-Mathematical Foundations for a General Theory. Springer, Berlin Heidelberg New York
2. Hájek P, Havránek T, Chytil M (1983) The GUHA Method. Academia, Prague (in Czech)
3. Rauch, J (1978) Some Remarks on Computer Realisations of GUHA Procedures. International Journal of Man-Machine Studies 10, 23-28.
4. Rauch J, Šimůnek M (2005) An Alternative Approach to Mining Association Rules. In: Lin T Y, Ohsuga S, Liau C J, Tsumoto S, and Hu X (eds) Foundations of Data Mining and Knowledge Discovery, Springer-Verlag, 2005, pp. 219-238.
5. Řehák J, Řeháková B (1986) Analysis of Categorized Data in Sociology. Academia, Prague (in Czech)
6. Tomečková M, Rauch J, Berka P (2002) STULONG-Data from Longitudinal Study of Atherosclerosis Risk Factors. In: Berka P (ed) ECML/PKDD-2002 Discovery Challenge Workshop Notes. Universitas Helsingiensis, Helsinki
7. Zembowicz R, Zytkow J (1996) From Contingency Tables to Various Forms of Knowledge in Databases. In: Fayyad U M and all (eds.) Advances in Knowledge Discovery and Data Mining. AAAI Press, Menlo Park (CA)