Affiliations: Faculty of Informatics and Statistics, University of Economics, Prague, nám. W. Churchilla 4, 130 67 Prague 3, Czech Republic. rauch@vse.cz, simunek@vse.cz
Correspondence:
[†]
Address for correspondence: University of Economics, Prague, nám. W. Churchilla 4, 130 67 Prague 3, Czech Republic.
Note: [*] The work described here is supported by institutional support funds for the long-term conceptual development of science and research at the Faculty of Informatics and Statistics of the University of Economics, Prague.
Abstract: An approach to data mining with histograms is introduced. Several examples of applying data mining for various types of histogram are presented. The problem of filtering out uninteresting histograms is described. It is shown that no suitable, logically correct deduction rules to solve this problem exist. Expert deduction rules are introduced as deduction rules supported by indisputable facts, however, incorrect according to mathematical logic. A method for deciding whether a given expert deduction rule is correct according to a given indisputable fact is developed. Applied examples of correct expert deduction rules are described.
