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Titlebook: Comparative Analysis of Deterministic and Nondeterministic Decision Trees; Mikhail Moshkov Book 2020 The Editor(s) (if applicable) and The

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發(fā)表于 2025-3-21 18:50:58 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Comparative Analysis of Deterministic and Nondeterministic Decision Trees
編輯Mikhail Moshkov
視頻videohttp://file.papertrans.cn/231/230834/230834.mp4
概述Focuses on the comparative analysis of deterministic and nondeterministic decision trees for problems in information systems.Compares the complexity of problem representation and minimum complexities
叢書名稱Intelligent Systems Reference Library
圖書封面Titlebook: Comparative Analysis of Deterministic and Nondeterministic Decision Trees;  Mikhail Moshkov Book 2020 The Editor(s) (if applicable) and The
描述.This book compares four parameters of problems in arbitrary information systems: complexity of problem representation and complexity of deterministic, nondeterministic, and strongly nondeterministic decision trees for problem solving. Deterministic decision trees are widely used as classifiers, as a means of knowledge representation, and as algorithms. Nondeterministic (strongly nondeterministic) decision trees can be interpreted as systems of true decision rules that cover all objects (objects from one decision class). ..?..This book develops tools for the study of decision trees, including bounds on complexity and algorithms for construction of decision trees for decision tables with many-valued decisions. It considers two approaches to the investigation of decision trees for problems in information systems: local, when decision trees can use only attributes from the problem representation; and global, when decision trees can use arbitrary attributes from the information system. For both approaches, it describes all possible types of relationships among the four parameters considered and discusses the algorithmic problems related to decision tree optimization. The results presen
出版日期Book 2020
關鍵詞Decision Trees; Local Approach; Global Approach; Deterministic Decision Trees; Local Decision Trees
版次1
doihttps://doi.org/10.1007/978-3-030-41728-4
isbn_softcover978-3-030-41730-7
isbn_ebook978-3-030-41728-4Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-21 23:35:51 | 只看該作者
978-3-030-41730-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Frank Früchtel,Gudrun Cyprian,Wolfgang Buddeterministic, and strongly nondeterministic decision trees is studied. The obtained results have some independent interest. Proofs of these results illustrate mainly methods for the proof of lower bounds on complexity of decision trees.
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Frank Früchtel,Gudrun Cyprian,Wolfgang Budde. For a given signature ., each local lower type ., ., and each pair . such that in the matrix . at the intersection of the row with index . and the column with index . either . or . stays, we study upper and lower bounds on the function . true for any sccf-triple ..
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