Works matching Decision tree
Results: 5000
Prediksi Hipertensi Menggunakan Decision Tree, Naïve Bayes dan Artificial Neural Network pada Software KNIME.
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- Techno.com, 2020, v. 19, n. 4, p. 353, doi. 10.33633/tc.v19i4.3872
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基于核梯度提升树的森林高度估测方法.
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- Journal of Beijing University of Technology, 2021, v. 47, n. 10, p. 1113, doi. 10.11936/bjutxb2019100013
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PENERAPAN ALGORITMA DECISION TREE UNTUK SELEKSI PENERIMA BEASISWA (STUDI KASUS: SMPN 1 SOREANG).
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- Journal of Comprehensive Science (JCS), 2023, v. 2, n. 7, p. 1294, doi. 10.59188/jcs.v2i7.452
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决策树剪枝加强的关联规则分类方法.
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- Journal of Computer Engineering & Applications, 2023, v. 59, n. 5, p. 87, doi. 10.3778/j.issn.l002-8331.2206-0476
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Detecting Keratoconus by Using SVM and Decision Tree Classifiers with the Aid of Image Processing.
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- Baghdad Science Journal, 2019, v. 16, n. 3, p. 1022, doi. 10.21123/bsj.2019.16.4(Suppl.).1022
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Decision-Tree-Based Knowledge Discovery: Single- vs. Multi-Decision-Tree Induction.
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- INFORMS Journal on Computing, 2008, v. 20, n. 1, p. 46, doi. 10.1287/ijoc.1060.0215
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Türkiye'de Makine Öğrenmesi ve Karar Ağaçları Alanında Yayınlanmış Tezlerin Bibliyometrik Analizi.
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- Journal of Management & Economics / Yönetim ve Ekonomi, 2021, v. 28, n. 2, p. 287, doi. 10.18657/yonveek.870190
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Reducing Interval-Valued Decision Trees to Conventional Ones: Comments on Decision Trees with Single and Multiple Interval-Valued Objectives.
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- Decision Analysis, 2014, v. 11, n. 3, p. 204, doi. 10.1287/deca.2014.0294
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激光诱导击穿光谱结合RFE-GBDT算法 定量分析稀土矿石中的Fe和Y.
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- Industrial Minerals & Processing / Huagong Kuangwu yu Jiagong, 2023, v. 52, n. 3, p. 20, doi. 10.16283/j.cnki.hgkwyjg.2023.03.004
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Detecting Keratoconus by Using SVM and Decision Tree Classifiers with the Aid of Image Processing.
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- Baghdad Science Journal, 2019, v. 16, n. 4, p. 1022, doi. 10.21123/bsj.2019.16.4(Suppl.).1022
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A DECISION TREE-BASED CLASSIFICATION APPROACH TO RULE EXTRACTION FOR SECURITY ANALYSIS.
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- International Journal of Information Technology & Decision Making, 2006, v. 5, n. 1, p. 227, doi. 10.1142/S0219622006001824
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决策树算法对整家定制家居购买决策的预测研究.
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- China Forest Products Industry, 2023, v. 60, n. 5, p. 88, doi. 10.19531/j.issn1001-5299.202305015
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Analyzing the Overfitting of Boosted Decision Trees for the Modelling of Stencil Printing.
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- Periodica Polytechnica: Electrical Engineering & Computer Science, 2022, v. 66, n. 2, p. 132, doi. 10.3311/PPee.19274
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Is Decision Tree Obsolete in Its Original Form? A Burning Debate.
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- Revue d'Intelligence Artificielle, 2022, v. 36, n. 1, p. 105, doi. 10.18280/ria.360112
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ДІАГНОСТИКА ХВОРОБИ СЕРЦЯ НА ОСНОВІ ДЕРЕВ РІШЕНЬ
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- Informatics & Mathematical Methods in Simulation / Informatika ta Matematičnì Metodi v Modelûvannì, 2021, v. 11, n. 1/2, p. 58, doi. 10.15276/imms.v11.no1-2.58
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基于最大Lyapunov指数Elman-决策树的 故障预警方法.
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- China Rural Water & Hydropower, 2022, n. 2, p. 168
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小样本下基于决策树-SNN的恶意流量检测方法.
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- Journal of Computer Engineering & Applications, 2023, v. 59, n. 21, p. 258, doi. 10.3778/j.issn.1002-8331.2207-0128
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An Application of Hybrid Bagging-Boosting Decision Trees Ensemble Model for Riverine Flood Susceptibility Mapping and Regional Risk Delineation: An Application of Hybrid Bagging-Boosting Decision Trees Ensemble Model for Riverine Flood Susceptibility Mapping and Regional Risk Delineation
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- Water Resources Management, 2025, v. 39, n. 2, p. 547, doi. 10.1007/s11269-024-03995-6
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Optimizing Multi-Path Decision Tree by Clustering and K-Nearest Neighbor Methods.
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- IUP Journal of Computer Sciences, 2010, v. 4, n. 2, p. 7
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Ensemble of decision tree reveals potential miRNA-disease associations.
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- PLoS Computational Biology, 2019, v. 15, n. 7, p. 1, doi. 10.1371/journal.pcbi.1007209
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Statistical Measures to Determine Optimal Structure of Decision Tree: One versus One Support Vector Machine.
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- Defence Science Journal, 2010, v. 60, n. 4, p. 399, doi. 10.14429/dsj.60.500
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A Method for Supporting the Domain Expert by the Interpretation of Different Decision Trees Learnt from the Same Domain.
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- Quality & Reliability Engineering International, 2014, v. 30, n. 7, p. 985, doi. 10.1002/qre.1675
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基于混合梯度提升决策树和逻辑回归模型的 分组密码算法识别方案.
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- Advanced Engineering Science / Gongcheng Kexue Yu Jishu, 2022, v. 54, n. 4, p. 218, doi. 10.15961/j.jsuese.202100341
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Comparative Analysis of Deterministic and Nondeterministic Decision Trees for Decision Tables from Closed Classes.
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- Entropy, 2024, v. 26, n. 6, p. 519, doi. 10.3390/e26060519
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On Complexity of Deterministic and Nondeterministic Decision Trees for Conventional Decision Tables from Closed Classes.
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- Entropy, 2023, v. 25, n. 10, p. 1411, doi. 10.3390/e25101411
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Decision Trees for Binary Subword-Closed Languages.
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- Entropy, 2023, v. 25, n. 2, p. 349, doi. 10.3390/e25020349
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一种可用于分类型属性数据的多变量决策树算法.
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- Journal of Northeastern University (Natural Science), 2020, v. 41, n. 11, p. 1521, doi. 10.12068/j.issn.1005-3026.2020.11.001
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A NEW MODEL FOR SOLVING SYMMETRIC MULTI-LEVEL DECISION TREES.
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- International Journal of Business, Accounting & Finance, 2011, v. 5, n. 1, p. 103
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Combining Fuzzy Partitioning and Incremental Methods to Construct a Scalable Decision Tree on Large Datasets.
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- International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems, 2023, v. 31, n. 6, p. 937, doi. 10.1142/S0218488523500423
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Multi-scale encoding of amino acid sequences for predicting protein interactions using gradient boosting decision tree.
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- PLoS ONE, 2017, v. 12, n. 8, p. 1, doi. 10.1371/journal.pone.0181426
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On the Decision Tree Complexity of Threshold Functions.
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- Theory of Computing Systems, 2022, v. 66, n. 6, p. 1074, doi. 10.1007/s00224-022-10084-x
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基于决策树算法的 IT 专业就业模型.
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- Ordnance Industry Automation, 2023, v. 42, n. 5, p. 50, doi. 10.7690/bgzdh.2023.05.011
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基于梯度提升决策树与混合型迁移学习的材质属性标注模型.
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- China Sciencepaper, 2018, v. 13, n. 20, p. 2378
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의사결정나무분석을 활용한 노인빈곤 결정요인 분석.
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- Journal of Digital Convergence, 2018, v. 16, n. 7, p. 63, doi. 10.14400/JDC.2018.16.7.063
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Landslide hazard assessment based on uncertain decision tree classification method.
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- Application Research of Computers / Jisuanji Yingyong Yanjiu, 2014, v. 31, n. 12, p. 3646, doi. 10.3969/j.issn.1001-3695.2014.12.033
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Intrusion detection model based on multi-decision trees for RFID technology.
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- Application Research of Computers / Jisuanji Yingyong Yanjiu, 2014, v. 31, n. 4, p. 1172, doi. 10.3969/j.issn.1001-3695.2014.04.052
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Guided Decision Tree: A Tool to Interactively Create Decision Trees Through Visualization of Subsequent LDA Diagrams.
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- Applied Sciences (2076-3417), 2024, v. 14, n. 22, p. 10497, doi. 10.3390/app142210497
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Decision Tree-Based Ensemble Model for Predicting National Greenhouse Gas Emissions in Saudi Arabia.
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- Applied Sciences (2076-3417), 2023, v. 13, n. 6, p. 3832, doi. 10.3390/app13063832
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Ensemble of randomized soft decision trees for robust classification.
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- Sādhanā: Academy Proceedings in Engineering Sciences, 2016, v. 41, n. 3, p. 273
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The effects of pruning methods on the predictive accuracy of induced decision trees.
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- Applied Stochastic Models in Business & Industry, 1999, v. 15, n. 4, p. 277, doi. 10.1002/(SICI)1526-4025(199910/12)15:4<277::AID-ASMB393>3.0.CO;2-B
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Creating Decision Trees from Rules using RBDT-1.
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- Computational Intelligence, 2016, v. 32, n. 2, p. 216, doi. 10.1111/coin.12049
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Decision tree classifiers for automated medical diagnosis.
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- Neural Computing & Applications, 2013, v. 23, n. 7/8, p. 2387, doi. 10.1007/s00521-012-1196-7
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FUDT: A Fuzzy Uncertain Decision Tree Algorithm for Classification of Uncertain Data.
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- Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), 2015, v. 40, n. 11, p. 3187, doi. 10.1007/s13369-015-1800-0
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基于 logistic 回归模型和决策树模型分析辅助生殖患者 卵巢高反应的影响因素.
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- Journal of China Medical University, 2022, v. 51, n. 11, p. 998, doi. 10.12007/j.issn.0258‐4646.2022.11.008
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Evaluation von Entscheidungsbaummodellen des maschinellen Lernens für das akute Leberversagen nach Reanimation.
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- Anaesthesiologie & Intensivmedizin, 2022, v. 63, n. 9, p. 350, doi. 10.19224/ai2022.350
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New Decision- Tree Model for Defining the Risk of Reproductive Failure.
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- American Journal of Reproductive Immunology, 2013, v. 70, n. 1, p. 59, doi. 10.1111/aji.12098
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Classification based on full decision trees.
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- Computational Mathematics & Mathematical Physics, 2012, v. 52, n. 4, p. 653, doi. 10.1134/S0965542512040082
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Classification of nicotine-dependent users in India: a decision-tree approach.
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- Journal of Public Health: From Theory to Practice (2198-1833), 2019, v. 27, n. 4, p. 453, doi. 10.1007/s10389-018-0973-x
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Evaluation of determinant factors for the presence and activity of dental caries in five-year-old children: study with decision tree.
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- Journal of Public Health: From Theory to Practice (2198-1833), 2018, v. 26, n. 5, p. 587, doi. 10.1007/s10389-017-0892-2
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Analysis of life expectancy across countries using a decision tree.
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- Eastern Mediterranean Health Journal, 2020, v. 26, n. 2, p. 143, doi. 10.26719/2020.26.2.143
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