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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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, 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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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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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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Fault Diagnosis of Induction Motors using Decision Trees [PDF]
, 2006 Decision tree is one of the most effective and widely used methods for building classification model. Researchers from various disciplines such as statistics, machine learning, pattern recognition, and data mining have considered the decision tree method
Yang, Bo-Suk +2 more
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RDTIDS: Rules and Decision Tree-Based Intrusion Detection System for Internet-of-Things Networks
Future Internet, 2020 This paper proposes a novel intrusion detection system (IDS), named RDTIDS, for Internet-of-Things (IoT) networks. The RDTIDS combines different classifier approaches which are based on decision tree and rules-based concepts, namely, REP Tree, JRip ...
M. Ferrag +4 more
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Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis using two-pass decision tree construction [PDF]
, 2010 This paper demonstrates how unsupervised cross-lingual adaptation of HMM-based speech synthesis models may be performed without explicit knowledge of the adaptation data language.
Teemu Hirsimaki +5 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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