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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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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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Prediksi Rating Film IMDb Menggunakan Decision Tree
Jurnal Teknologi Informasi dan Ilmu Komputer, 2023 Industri Film bukan hanya industri atau pusat hiburan semata melainkan menjadi pusat bisnis global. Popularitas atau kesuksesan film box office selalu menjadi perhatian di seluruh dunia.
Rifqy Rosdiyah Ilmi +2 more
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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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Comprehensive decision tree models in bioinformatics.
PLoS ONE, 2012 PurposeClassification is an important and widely used machine learning technique in bioinformatics. Researchers and other end-users of machine learning software often prefer to work with comprehensible models where knowledge extraction and explanation of
Gregor Stiglic +3 more
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Konsep Decision Tree Reptree untuk Melakukan Optimasi Rule dalam Fuzzy Inference System Tsukamoto
Jurnal Teknologi Informasi dan Ilmu Komputer, 2022 Penelitian ini menjelaskan tentang decision tree REPTree dalam membuat suatu rule yang terbentuk dari produksi minyak kelapa sawit di PT Tapiana Nadenggan, yang dipengaruhi oleh faktor banyaknya kelapa sawit, permintaan yang ada, serta persediaan yang ...
Tundo Tundo, Shofwatul 'Uyun
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Omnivariate decision trees [PDF]
IEEE Transactions on Neural Networks, 2001 Univariate decision trees at each decision node consider the value of only one feature leading to axis-aligned splits. In a linear multivariate decision tree, each decision node divides the input space into two with a hyperplane. In a nonlinear multivariate tree, a multilayer perceptron at each node divides the input space arbitrarily, at the expense ...
Olcay Taner Yildiz, Ethem Alpaydin
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