Decision Trees

Various systems (e.g. energy systems, management systems, and computer systems) take sustainability as an objective for reaching a high quality level. Penzenstadler,

Table 7, based on results from Tables 3 and 5, presents comparison of the average depth of α-decision trees for proposed approach and approach based on generalized decision.. Each

We have created a software system for decision trees (as well as decision rules) called dagger—a tool based on dynamic programming which allows us to optimize decision trees

The user model builder uses the feature vectors of the rated items in combination with the user’s ratings to learn what combination of fea- tures leads to which rating.. The result is

On the contrary of others methods of classification based on Formal Concept Analysis [12], our approach is based on a navigation into the lattice structure to classify a symbol image

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Secondly, we suggest a quantum version of this algorithm, which uses quantum sub- routines like the amplitude amplification and the D¨ urr-Høyer minimum search algorithms that are

In this paper we discuss three problems in Data Mining Sparse Deci- sion Systems: the problem of short reduct calculation, discretization of numerical attributes and rule induction..