Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Consecutive Optimization of Decision Trees Concerning Various Complexity Measures
Fundamenta Informaticae - International Conference on Soft Computing and Distributed Processing (SCDP'2002)
Dynamic Programming Approach for Partial Decision Rule Optimization
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Dynamic programming approach to optimization of approximate decision rules
Information Sciences: an International Journal
Sequential optimization of binary search trees for multiple cost functions
CATS '11 Proceedings of the Seventeenth Computing: The Australasian Theory Symposium - Volume 119
Sequential optimization of binary search trees for multiple cost functions
CATS 2011 Proceedings of the Seventeenth Computing on The Australasian Theory Symposium - Volume 119
Communication: Diagnosis of constant faults in iteration-free circuits over monotone basis
Discrete Applied Mathematics
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An algorithm is considered which for a given decision table constructs a decision tree with minimal depth. The class of all information systems (finite and infinite) is described for which this algorithm has polynomial time complexity depending on the number of columns (attributes) in decision tables.