Abstract
An algorithm is considered which for a given decision table constructs a decision tree with minimal number of nodes. 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.
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Chegis, I.A., Yablonskii, S.V.: Logical methods of electric circuit control. Trudy MIAN SSSR 51 (1958) 270–360 (in Russian)
Chikalov, I.V.: Algorithm for constructing of decision trees with minimal average depth. Proceedings of The 8th Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems 1. July 3-7, Madrid, Spain (2000) 376–379
Markov, Al.A.: Circuit complexity of discrete optimization. Diskretnaya Matematika 4(3) (1992) 29–46 (in Russian)
Morzhakov, N.M.: On relationship between complexity of a set description and complexity of problem of linear form minimization on this set. Kombinatornoalgebraicheskiye Metody v Prikladnoi Matematike. Gorky University Publishers, Gorky (1985) 83–98 (in Russian)
Morzhakov, N.M.: On complexity of discrete extremal problem solving in the class of circuit algorithms. Matematicheskie Voprosi Kybernetiki 6. Nauka, Moscow (1996) 215–238 (in Russian)
Moshkov, M.Ju.: On problem of linear form minimization on finite set. Kombinatorno-algebraicheskiye Metody v Prikladnoi Matematike. Gorky University Publishers, Gorky (1985) 98–119 (in Russian)
Moshkov, M.Ju., Chkalov, I.V.: On efficient algorithms for conditional test constructing. Proceedings of the Twelfth International Conference “Problems of Theoretical Cybernetics” 2. Nizhni Novgorod, Russia (1999) 165 (in Russian)
Moshkov, M.Ju, Chikalov I.V.: On algorithm for constructing of decision trees with minimal depth. Fundamenta Informaticae 41(3) (2000) 295–299
Pawlak, Z.: Rough Sets-Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht, Boston, London (1991)
Skowron, A., Rauszer, C.: The discernibility matrices and functions in information systems. Intelligent Decision Support. Handbook of Applications and Advances of the Rough Set Theory. Edited by R. Slowinski. Kluwer Academic Publishers, Dordrecht, Boston, London (1992) 331–362
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Chikalov, I. (2001). On Algorithm for Constructing of Decision Trees with Minimal Number of Nodes. In: Ziarko, W., Yao, Y. (eds) Rough Sets and Current Trends in Computing. RSCTC 2000. Lecture Notes in Computer Science(), vol 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45554-X_16
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DOI: https://doi.org/10.1007/3-540-45554-X_16
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