Results 31 to 40 of about 305,651 (314)
, 2021 This project aims to use R language to develop a decision-tree module that is working correctly under software Jamovi. This project will create an easy teaching tool for the NYU MASY program, allowing faculties and students to do decision-tree analysis ...
Wei, Guangning
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Efficient privacy-preserving decision tree classification protocol
Tongxin xuebao, 2021 To provide privacy-preserving decision tree classification services in the Internet of things (IoT) big data scenario, an efficient privacy-preserving decision tree classification protocol was proposed by adopting the secure multiparty computation ...
Lichuan MA +3 more
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Advances in Electrical and Computer Engineering, 2014 There is a growing interest nowadays to process large amounts of data using the well-known decision-tree learning algorithms. Building a decision tree as fast as possible against a large dataset without substantial decrease in accuracy and using as ...
PURDILA, V., PENTIUC, S.-G.
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Ilkom Jurnal Ilmiah, 2023 The global impact of the COVID-19 pandemic has been profound, affecting economies and societal structures worldwide. Indonesia, with a high caseload, has encountered significant challenges across various sectors.
Bhima Satria Rizki Sugiono +4 more
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Induction of decision trees [PDF]
Machine Learning, 1986 The technology for building knowledge-based systems by inductive inference from examples has been demonstrated successfully in several practical applications. This paper summarizes an approach to synthesizing decision trees that has been used in a variety of systems, and it describes one such system, ID3, in detail.
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Inducing decision trees with an ant colony optimization algorithm [PDF]
, 2012 Decision trees have been widely used in data mining and machine learning as a comprehensible knowledge representation. While ant colony optimization (ACO) algorithms have been successfully applied to extract classification rules, decision tree induction ...
Otero, Fernando E.B. +2 more
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Simplifying decision trees [PDF]
International Journal of Man-Machine Studies, 1987 Many systems have been developed for constructing decision trees from collections of examples. Although the decision trees generated by these methods are accurate and efficient, they often suffer the disadvantage of excessive complexity and are therefore incomprehensible to experts.
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Decision Support System Improving the Interpretability of Generated Tree-Based Models
Acta Electrotechnica et Informatica, 2022 A decision tree represents one of the most used data analysis methods for classification tasks. The generated decision models can be visualized as a graph, but this visualization is quite complicated for a domain expert to understand in large or ...
Klimonová Diana +3 more
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IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2012 Licensed copy is available on IEEE ...
Manwani, N, Sastry, PS
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