Research

I:ZI Miner is a web interface to the LISp-Miner system. I:ZI miner is  also integrated with the SEWEBAR project, which provides reporting capabilities, as well as modules for dealing with background knowledge.

I:ZI Miner specific papers

The following papers can be attributed to I:ZI Miner specific algorithms and technology:

LISp-Miner - the underlying mining software

  • Rauch, J., Šimůnek M. Alternative Approach to Mining Association Rules. In Lin T Y, Ohsuga S, Liau C J, and Tsumoto S (eds): Data Mining: Foundations, Methods, and Applications, Springer-Verlag, 2005
  • Rauch, J. Association Rules and Mechanizing Hypotheses Formation. Freiburg 03.09.2001. In: KORB, Kevi, BENSUSAN, Hilan (ed.). ECML/PKDD – 2001. Machine Learning as Experimental Philosophy of Science. Freiburg : University Freiburg, 2001. 17 s.
  • 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.
  • 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.

SEWEBAR - reporting and background knowledge