Induction of decision trees

Cited by (1,063)

Items 901–1,000 of 1,063

1. Person Re-identification Using Haar-based and DCD-based Signature
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2. Data discretization: taxonomy and big data challenge
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3. A Neuro Fuzzy Expert System for Heart Disease Diagnosis
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5. User Modeling for Personalized City Tours
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6. Optimal Feature and Decision Tree-Based Classification of Power Quality Disturbances in Distributed Generation Systems
   Prakash Kumar Ray, Soumya R. Mohanty, Nand Kishor, João P. S. Catalào · 2013 · IEEE Transactions on Sustainable Energy
7. Intelligent Machine Learning Approach for Effective Recognition of Diabetes in E-Healthcare Using Clinical Data
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8. A review of artificial intelligence applications for antimicrobial resistance
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9. Artificial Intelligence
   David Poole, Alan K. Mackworth · 2017 · Cambridge University Press eBooks
10. SFE: A Simple, Fast, and Efficient Feature Selection Algorithm for High-Dimensional Data
    Behrouz Ahadzadeh, Moloud Abdar, Fatemeh Safara, Abbas Khosravi, Mohammad Bagher Menhaj, Ponnuthurai Nagaratnam Suganthan · 2023 · IEEE Transactions on Evolutionary Computation
11. On the Accuracy of Meta-learning for Scalable Data Mining
    Philip K. Chan, Salvatore J. Stolfo · 1997 · Journal of Intelligent Information Systems
12. PROBABILISTIC DECISION TREES
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13. Theory refinement combining analytical and empirical methods
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14. Induction of multiple fuzzy decision trees based on rough set technique
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15. Automatic Text Classification: A Technical Review
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16. Controlling the False Discovery Rate for Feature Selection in High‐resolution NMR Spectra
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17. Privacy preserving mining of association rules
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18. Dynamic power management using adaptive learning tree
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19. On the optimization of fuzzy decision trees
    Xizhao Wang, Bin Chen, Guoliang Qian, Feng Ye · 2000 · Fuzzy Sets and Systems
20. Accurate Prediction of COVID-19 using Chest X-Ray Images through Deep Feature Learning model with SMOTE and Machine Learning Classifiers
    Rahul Kumar, Ridhi Arora, Vipul Bansal, Vinodh J Sahayasheela, Himanshu Buckchash, Javed Imran, Narayanan Narayanan, Ganesh N. Pandian, Balasubramanian Raman · 2020 · medRxiv
21. Effect of number of features on classification of roller bearing faults using SVM and PSVM
    Vaithiyanathan Sugumaran, K.I. Ramachandran · 2010 · Expert Systems with Applications
22. Preference disaggregation and statistical learning for multicriteria decision support: A review
    Michael Doumpos, Constantin Zopounidis · 2010 · European Journal of Operational Research
23. Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking
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24. Automatic Prosodic Event Detection Using Acoustic, Lexical, and Syntactic Evidence
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25. Performance analysis of classification algorithms on early detection of liver disease
    Moloud Abdar, Mariam Zomorodi Moghadam, Resul Daş, I‐Hsien Ting · 2016 · Expert Systems with Applications
26. Probabilistic model for code with decision trees
    Veselin Raychev, Pavol Bielik, Martin T. Vechev · 2016 · Conference on Object-Oriented Programming Systems, Languages, and Applications
27. Pipe failure modelling for water distribution networks using boosted decision trees
    Daniel Winkler, Markus Haltmeier, Manfred Kleidorfer, Wolfgang A. Rauch, Franz Tscheikner-Gratl · 2018 · Structure and Infrastructure Engineering
28. Meta-Learning in Distributed Data Mining Systems: Issues and Approaches
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29. Automatic semantics extraction in law documents
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30. Evolving and clustering fuzzy decision tree for financial time series data forecasting
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31. A personal learning apprentice
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32. Answering the connectionist challenge: a symbolic model of learning the past tenses of English verbs
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33. Predicting football results using Bayesian nets and other machine learning techniques
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34. An improved Stacking framework for stock index prediction by leveraging tree-based ensemble models and deep learning algorithms
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35. Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area
    Viet‐Ha Nhu, Nhat‐Duc Hoang, Hieu Nguyen, Phuong Thao Thi Ngo, Tinh Thanh Bui, Pham Viet Hoa, Pijush Samui, Dieu Tien Bui · 2020 · CATENA
36. Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction
    Mohamed Saber, Tayeb Boulmaiz, Mawloud Guermoui, Karim I. Abdrabo, Sameh A. Kantoush, Tetsuya Sumi, Hamouda Boutaghane, Daisuke Nohara, Emad Mabrouk · 2021 · Geocarto International
37. A context-aware robust intrusion detection system: a reinforcement learning-based approach
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38. Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model
    Javad Hassannataj Joloudari, Edris Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol, Seyyed Mohammad Razavi, Amir Hosein Mosavi, Narjes Nabipour, Shahaboddin Shamshirband, László Nádai · 2020 · International Journal of Environmental Research and Public Health
39. Data preprocessing for heart disease classification: A systematic literature review
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40. An investigation of XGBoost-based algorithm for breast cancer classification
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41. Improving Access to Online Health Information With Conversational Agents: A Randomized Controlled Experiment
    Bickmore, Timothy W, Utami, Dina, Matsuyama, Robin, Paasche-Orlow, Michael K · 2016 · Journal of Medical Internet Research
42. Random Subspace Ensembles for Hyperspectral Image Classification With Extended Morphological Attribute Profiles
    Junshi Xia, Mauro Dalla Mura, Jocelyn Chanussot, Peijun Du, Xiyan He · 2015 · IEEE Transactions on Geoscience and Remote Sensing
43. A fast approach to attribute reduction in incomplete decision systems with tolerance relation-based rough sets
    Zuqiang Meng, Zhongzhi Shi · 2009 · Information Sciences
44. Improving the Performance of Radial Basis Function Networks by Learning Center Locations
    Dietrich Wettschereck, Thomas G. Dietterich · 1991
45. A Novel Wrapper–Based Feature Selection for Early Diabetes Prediction Enhanced With a Metaheuristic
    Tuan Minh Le, Thanh Minh Vo, Tan Nhat Pham, Son Vu Truong Dao · 2020 · IEEE Access
46. A hybrid DNN–LSTM model for detecting phishing URLs
    Alper Özcan, Cagatay Catal, Emrah Dönmez, Behcet Senturk · 2021 · Neural Computing and Applications
47. Machine-learning-aided thermochemical treatment of biomass: a review
    Hailong Li, Jiefeng Chen, Weijin Zhang, Hao Zhan, Chao Hui He, Zequn Yang, Haoyi Peng, Lijian Leng · 2023 · Biofuel Research Journal
48. Learning Fingerprints for a Database Intrusion Detection System
    Sin Yeung Lee, Wai Lup Low, Pei Yuen Wong · 2002 · Lecture notes in computer science
49. Good methods for coping with missing data in decision trees
    Bhekisipho Twala, M. C. Jones, David J. Hand · 2008 · Pattern Recognition Letters
50. An extensive review of research in swarm robotics
    M. Yogeswaran, S. G. Ponnambalam · 2009 · World Congress on Nature and Biologically Inspired Computing (NaBIC)
51. Performance Prediction of Engineering Students using Decision Trees
    R. Kabra R. · 2011 · International Journal of Computer Applications
52. A review on machine learning algorithms to predict daylighting inside buildings
    Mohammed Ayoub · 2020 · Solar Energy
53. Cost-Sensitive Learning of Classification Knowledge and Its Applications in Robotics
    Ming Tan · 1993 · Machine Learning
54. Developing an early warning system to predict currency crises
    Cüneyt Sevim, Asil Oztekin, Özkan Bali, Serkan Gümüş, Erkam Güreşen · 2014 · European Journal of Operational Research
55. Interpretability issues in data-based learning of fuzzy systems
    Ralf Mikut, Jens Jäkel, Lutz Gröll · 2004 · Fuzzy Sets and Systems
56. A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem
    Parag C. Pendharkar · 2004 · Computers & Operations Research
57. Novel genetic ensembles of classifiers applied to myocardium dysfunction recognition based on ECG signals
    Paweł Pławiak · 2017 · Swarm and Evolutionary Computation
58. Predicting in-hospital mortality of patients with acute kidney injury in the ICU using random forest model
    Ke Lin, Yonghua Hu, Guilan Kong · 2019 · International Journal of Medical Informatics
59. Adaptive multilingual sentence boundary disambiguation
    David D. Palmer, Marti A. Hearst · 1997
60. Addressing the Selective Superiority Problem: Automatic Algorithm/Model Class Selection
    Carla E. Brodley · 1993 · Elsevier eBooks
61. Toward parallel and distributed learning by meta-learning
    Philip K. Chan, Salvatore J. Stolfo · 1993
62. Feature Analysis of Coronary Artery Heart Disease Data Sets
    Randa El‐Bialy, Mostafa A. Salamay, Omar H. Karam, Mohamed Essam Khalifa · 2015 · Procedia Computer Science
63. Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring
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64. Region-based image retrieval with high-level semantics using decision tree learning
    Ying Liu, Dengsheng Zhang, Guojun Lu · 2007 · Pattern Recognition
65. On the Non-Trivial Generalization of Dynamic Time Warping to the Multi-Dimensional Case
    Mohammad Shokoohi-Yekta, Jun Wang, Eamonn Keogh · 2015 · SIAM International Conference on Data Mining
66. Gene selection for microarray data classification using a novel ant colony optimization
    Sina Tabakhi, Ali Najafi, Reza Ranjbar, Parham Moradi · 2015 · Neurocomputing
67. Autonomous navigation of UAV by using real-time model-based reinforcement learning
    Nursultan Imanberdiyev, Changhong Fu, Erdal Kayacan, I‐Ming Chen · 2016 · International Conference on Control, Automation, Robotics and Vision (ICARCV)
68. Correlation analysis of performance measures for multi-label classification
    Rafael B. Pereira, Alexandre Plastino, Bianca Zadrozny, Luiz Henrique de Campos Merschmann · 2018 · Information Processing & Management
69. An Ensemble Oversampling Model for Class Imbalance Problem in Software Defect Prediction
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70. Tree based discretization for continuous state space reinforcement learning
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71. Experiments on multistrategy learning by meta-learning
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72. Competition-Based Induction of Decision Models from Examples
    David Perry Greene, Stephen F. Smith · 1993 · Machine Learning
73. A Knowledge-Intensive Genetic Algorithm for Supervised Learning
    Cezary Z. Janikow · 1993 · Machine Learning
74. Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection
    Adler, Afek Ilay, Painsky, Amichai · 2022 · Entropy
75. Surveying the reach and maturity of machine learning and artificial intelligence in astronomy
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76. Modeling self-efficacy in intelligent tutoring systems: An inductive approach
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77. Novelty detection meets collider physics
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78. Differentially private synthetic medical data generation using convolutional GANs
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79. A multi-objective genetic programming approach to developing Pareto optimal decision trees
    Huimin Zhao · 2006 · Decision Support Systems
80. A Comparative Evaluation of Voting and Meta-learning on Partitioned Data
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81. BOAT—optimistic decision tree construction
    Johannes E. Gehrke, Venkatesh Ganti, Raghu Ramakrishnan, Wei‐Yin Loh · 1999 · ACM SIGMOD International Conference on Management of Data (SIGMOD)
82. Bias of Importance Measures for Multi-valued Attributes and Solutions
    Houtao Deng, George C. Runger, Eugene Tuv · 2011 · Lecture notes in computer science
83. Information-Theoretic Measures for Knowledge Discovery and Data Mining
    Yiyu Y. Yao · 2003 · Studies in fuzziness and soft computing
84. Designing predictive maintenance systems using decision tree-based machine learning techniques
    Shashidhar Kaparthi, Daniel Bumblauskas · 2020 · International Journal of Quality & Reliability Management
85. Multiple decision trees
    Suk Wah Kwok, Chris Carter · 1990 · Machine intelligence and pattern recognition
86. SAT Based Abstraction-Refinement Using ILP and Machine Learning Techniques
    Edmund M. Clarke, Anubhav Gupta, James H. Kukula, Ofer Strichman · 2002 · Lecture notes in computer science
87. Hybrid decision tree
    Zhi‐Hua Zhou, Zhao-Qian Chen · 2002 · Knowledge-Based Systems
88. Online Ensemble Learning: An Empirical Study
    Alan Fern, Robert L. Givan · 2003 · Machine Learning
89. The ConTraSt database for analysing and comparing empirical studies of consciousness theories
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90. Big Data Analysis-Based Security Situational Awareness for Smart Grid
    Wu, Jun, Ota, Kaoru, Dong, Mianxiong, Li, Jianhua, Wang, Hongkai · 2018 · IEEE Transactions on Big Data
91. Detecting spammers with SNARE: spatio-temporal network-level automatic reputation engine
    Shuang Hao, Nadeem Ahmed Syed, Nick Feamster, Alexander Gray, Sven Krasser · 2009
92. The Connectionist Inductive Learning and Logic Programming System
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93. Learning Optimal Classification Trees Using a Binary Linear Program Formulation
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94. A Survey of Semantic Segmentation
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95. Effects of feature construction on classification performance: An empirical study in bank failure prediction
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96. Analyzing the presence of noise in multi-class problems: alleviating its influence with the One-vs-One decomposition
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97. Bayesian classifiers based on kernel density estimation: Flexible classifiers
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98. Monitoring mangrove forest changes using remote sensing and GIS data with decision-tree learning
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99. Privacy-Preserving Decision Trees over Vertically Partitioned Data
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100. A Comprehensive Study of Activity Recognition Using Accelerometers
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