M Azad, M Moshkov - European Journal of Operational Research, 2017 - Elsevier
We study problems of optimization of decision and inhibitory trees for decision tables with many-valued decisions. As cost functions, we consider depth, average depth, number of …
M Grzegorowski - Transactions on Rough Sets XXIII, 2023 - Springer
In the presented study, the problem of interactive feature extraction, ie, supported by interaction with users, is discussed, and several innovative approaches to automating …
M Azad, M Moshkov - 2015 Federated Conference on …, 2015 - ieeexplore.ieee.org
Decision tree is a widely used technique to discover patterns from consistent data set. But if the data set is inconsistent, where there are groups of examples (objects) with equal values …
Decision trees are one of the most commonly used tools in decision analysis, knowledge representation, machine learning, etc., for its simplicity and interpretability. We consider an …
In the dissertation, the problem of interactive feature extraction, ie, supported by interaction with users, is discussed, and several innovative approaches to automating feature creation …
L Jia, NG Sun - Chemical Engineering Transactions, 2015 - cetjournal.it
This paper focuses on finding minimal complexities of decision trees representing rules defined for features and functionalities of online learning community. Because …
In this chapter, we study bi-criteria optimization problem cost versus cost for decision and inhibitory trees. We design an algorithm which constructs the set of Pareto optimal points for …