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Jurnal Teknologi Informasi dan Ilmu Komputer, 2021 Penelitian ini menerangkan analisis decision tree J48, REPTree dan Random Tree dengan menggunakan metode fuzzy Tsukamoto dalam penentuan jumlah produksi minyak kelapa sawit di perusahaan PT Tapiana Nadenggan dengan tujuan untuk mengetahui decision tree ...
Tundo Tundo, Shofwatul 'Uyun
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Privacy-preserving decision tree for epistasis detection
Cybersecurity, 2019 The interaction between gene loci, namely epistasis, is a widespread biological genetic phenomenon. In genome-wide association studies(GWAS), epistasis detection of complex diseases is a major challenge. Although many approaches using statistics, machine
Qingfeng Chen, Xu Zhang, Ruchang Zhang
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Pembentukan Model Pohon Keputusan pada Database Car Evaluation Menggunakan Statistik Chi-Square
Contemporary Mathematics and Applications (ConMathA), 2022 The study discusses problems related to the formation of a decision tree based on a collection of evaluation data records obtained from a number of car buyers. This secondary data was obtained from the UCL machine learning website.
Retno Maharesi
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CoRR, 2020 Decision trees (DTs) epitomize what have become to be known as interpretable machine learning (ML) models. This is informally motivated by paths in DTs being often much smaller than the total number of features. This paper shows that in some settings DTs can hardly be deemed interpretable, with paths in a DT being arbitrarily larger than a PI ...
Yacine Izza +2 more
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Minimum Query Set for Decision Tree Construction
Entropy, 2021 A new two-stage method for the construction of a decision tree is developed. The first stage is based on the definition of a minimum query set, which is the smallest set of attribute-value pairs for which any two objects can be distinguished.
Wojciech Wieczorek +3 more
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Assessing Decision Tree Stability: A Comprehensive Method for Generating a Stable Decision Tree
IEEE AccessObjectives: This paper proposes a novel stability metric for decision trees that does not rely on the elusive notion of tree similarity. Existing stability metrics have been constructed in a pairwise fashion to assess the tree similarity between two ...
Jeongeon Lee, Min Kyu Sim, Jung-Sik Hong
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Very Fast C4.5 Decision Tree Algorithm
Applied Artificial Intelligence, 2018 This paper presents a novel algorithm so-called VFC4.5 for building decision trees. It proposes an adaptation of the way C4.5 finds the threshold of a continuous attribute. Instead of finding the threshold that maximizes gain ratio, the paper proposes to
Anis Cherfi +2 more
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Decision Tree Induction using Adaptive FSA
CLEI Electronic Journal, 2018 This paper introduces a new algorithm for the induction of decision trees, based on adaptive techniques. One of the main feature of this algorithm is the application of automata theory to formalize the problem of decision tree induction and the use of a ...
Hemerson Pistori, Joao Jose Neto
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A Decision Tree for Rockburst Conditions Prediction
Applied Sciences, 2023 This paper presents an alternative approach to predict rockburst using Machine Learning (ML) algorithms. The study used the Decision Tree (DT) algorithm and implemented two approaches: (1) using DT model for each rock type (DT-RT), and (2) developing a ...
Dominic Owusu-Ansah +4 more
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Bivariate decision trees [PDF]
, 1997 Decision tree methods constitute an important and much used technique for classification problems. When such trees are used in a Datamining and Knowledge Discovery context, ease of interpretation of the resulting trees is an important requirement to be met.
Bioch, JC (Cor) +2 more
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