Titlebook: Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining; Hassan AbouEisha,Talha Amin,Mikhail Moshkov Book 2019 Sp

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1868-4394 and systems of decision rules, (iii) optimization of element.Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the simplest ones. A conventional dynamic pr

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https://doi.org/10.1007/978-3-662-31502-6e show results on the complexity of two problems: problem of eight element sorting and a modified majority problem. Finally, the chapter concludes with an algorithm for optimizing decision tests for decision tables.

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Nicolae Radoi,Georg Wilhelm,Leo Dannenbergd uncertainty measure. We end this chapter with some illustrative examples and a discussion of multi-pruning of decision trees with applications from knowledge representation and classification. The classifiers constructed by multi-pruning process often have better accuracy than the classifiers constructed by CART.

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Anforderungen an den Auftraggeber,ms of decision rules can be analyzed with regards to different criteria (cost functions). In this chapter, we provide definitions and basic concepts with regards to decision rules and systems of decision rules.

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Japanese Juveniles in Transitionphs of functions which describe the relationships between the considered cost function and uncertainty measure. Finally, we present experiments displaying the existence of trade-offs in various decision tables.

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https://doi.org/10.1007/978-3-662-31516-3arison of different greedy algorithms for construction of decision trees, analysis of trade-offs for decision trees for corner point detection, and study of derivation of decision rules from decision trees.

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Buying Personas und Customer Journeys,of relatively small sets of decision rules. The work of this algorithm can be used to adapt a nontrivial lower bound on the minimum cardinality for partial covers to the construction of systems of decision rules.

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Bi-criteria Optimization Problem for Decision Trees: Cost Versus Costarison of different greedy algorithms for construction of decision trees, analysis of trade-offs for decision trees for corner point detection, and study of derivation of decision rules from decision trees.