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Evolucijski induktivni pristop avtomatskega učenja pri odkrivanju novega znanjaMertik, Matej, 1977-In the past two decades we have seen a dramatic increase in the amount of information or data being stored in electronic format. Because of this accumulation the KDD (Knowledge Discovery in ... Databases) has become a very attractive discipline in the field of intelligent systems. In this paper we will present the new method for discovery of new knowledge IDERAL (Inductive Datamining Elimination-Rule Algorithm), which uses a multi-population self-adapting genetic algorithm for the induction of decision trees and method for evaluation of the degree of "new" knowledge based on knowledge abstraction from the articles collected on the internet. The method is currently tested on the medical databases.Source: Zbornik enajste Elektrotehniške in računalniške konference ERK 2002 : Portorož, Slovenija, 23. - 25. september 2002 (Zv. B, str. 443-444)Type of material - conference contributionPublish date - 2002Language - slovenianCOBISS.SI-ID - 7432726
Author
Mertik, Matej, 1977-
Other authors
Kokol, Peter, 1957-
Topics
odkrivanje znanja |
podatkovne baze |
podatkovno rudarjenje |
inteligentni sistemi |
IDERAL |
genetski algoritmi |
odločitvena drevesa |
knowledge discovery |
databases |
data mining |
intelligent systems |
IDERAL |
genetic algorithms |
decision trees
source: Zbornik enajste Elektrotehniške in računalniške konference ERK 2002 : Portorož, Slovenija, 23. - 25. september 2002 (Zv. B, str. 443-444)
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Database name | Field | Year |
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Mertik, Matej, 1977- | 24404 |
Kokol, Peter, 1957- | 03782 |
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