From optimal hyperplanes to optimal decision trees
Fundamenta Informaticae
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
On algorithm for building of optimal α-decision trees
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
A tool for study of optimal decision trees
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Relationships between depth and number of misclassifications for decision trees
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Time complexity of decision trees
Transactions on Rough Sets III
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This paper presents a new tool for the study of relationships between the total path length or the average depth and the number of misclassifications for decision trees. In addition to algorithm, the paper also presents the results of experiments with datasets from UCI ML Repository [9] and datasets representing Boolean functions with 10 variables.