Induction of decision trees

Cited by (1,063)

Items 301–400 of 1,063

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10. A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics
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11. Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms
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12. Oblivious multi-party machine learning on trusted processors
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13. Learning classification trees
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14. A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area
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15. Recent advances in feature selection and its applications
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16. Spatial prediction of flood susceptibility using random-forest and boosted-tree models in Seoul metropolitan city, Korea
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18. Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
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20. A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation
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21. Boolean Feature Discovery in Empirical Learning
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22. An unsupervised feature selection algorithm based on ant colony optimization
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23. An Empirical Study of Learning from Imbalanced Data Using Random Forest
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24. A Nearest Hyperrectangle Learning Method
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26. Efficient C4.5 [classification algorithm]
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27. Machine Learning and Data Mining; Methods and Applications
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30. Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city
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31. Data mining and machine learning in astronomy
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32. The Application of Deep Learning in Cancer Prognosis Prediction
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33. Neural network techniques for financial performance prediction: integrating fundamental and technical analysis
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34. CAEP: Classification by Aggregating Emerging Patterns
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35. A New Generation of Ai: A Review and Perspective on Machine Learning Technologies Applied to Smart Energy and Electric Power Systems
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36. Random forest for credit card fraud detection
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37. A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things: Challenges, Solutions and Future Directions
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38. Machine Learning for Cultural Heritage: A Survey
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39. Predicting the direction of stock market prices using tree-based classifiers
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40. Hetero-ConvLSTM
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41. Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning Based Approach
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42. Clustering association rules
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43. Artificial Intelligence and Machine Learning in Pathology: The Present Landscape of Supervised Methods
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44. Refinement of approximate domain theories by knowledge-based neural networks
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45. Mean Birds
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46. A survey on classification techniques for opinion mining and sentiment analysis
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47. Deep learning for smart fish farming: applications, opportunities and challenges
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48. A Survey on ensemble learning under the era of deep learning
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49. Relational Reinforcement Learning
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50. A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning
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51. Classification and prediction of diabetes disease using machine learning paradigm
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52. Series in Machine Perception and Artificial Intelligence
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53. Machine learning: Accelerating materials development for energy storage and conversion
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54. Hybrid decision tree and naïve Bayes classifiers for multi-class classification tasks
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55. The design and analysis of a computational model of cooperative coevolution
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56. A global, high-resolution (30-m) inland water body dataset for 2000: first results of a topographic–spectral classification algorithm
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57. A Linear Method for Deviation Detection in Large Databases
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58. A systematic literature review of methods and datasets for anomaly-based network intrusion detection
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59. Induction of One-Level Decision Trees
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60. PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees
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61. A Survey of Decision Trees: Concepts, Algorithms, and Applications
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62. Conditional random fields for activity recognition
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63. An information theoretic approach to rule induction from databases
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64. Supervised term weighting for automated text categorization
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65. IntruDTree: A Machine Learning Based Cyber Security Intrusion Detection Model
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66. Automated Text Summarization in SUMMARIST
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67. Feature selection for text classification: A review
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68. A hybrid genetic algorithm for feature selection wrapper based on mutual information
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69. Selected techniques for data mining in medicine
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70. Exploring Permission-Induced Risk in Android Applications for Malicious Application Detection
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71. Combining statistical learning with a knowledge-based approach: A case study in intensive care monitoring
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72. RainForest—A Framework for Fast Decision Tree Construction of Large Datasets
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73. Comparison of decision tree methods for finding active objects
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74. Reducing Misclassification Costs
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75. A Survey of Evolutionary Algorithms for Decision-Tree Induction
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76. Search through systematic set enumeration
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77. Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification
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78. Rice Leaf Disease Detection Using Machine Learning Techniques
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79. Stochastic gradient boosted distributed decision trees
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80. Feature selection in mixed data: A method using a novel fuzzy rough set-based information entropy
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81. Simplifying decision trees: A survey
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82. Automated Discovery of WordNet Relations
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83. Predicting the Thermodynamic Stability of Solids Combining Density Functional Theory and Machine Learning
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84. Learning approaches for detecting and tracking news events
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86. Development of Efficient CNN model for Tomato crop disease identification
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87. A comparative analysis of machine learning techniques for student retention management
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88. Detecting Hoaxes, Frauds, and Deception in Writing Style Online
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89. Big Data and machine learning in radiation oncology: State of the art and future prospects
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90. Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model
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91. Big data analytics for preventive medicine
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92. Reinforcement Learning: A Tutorial Survey and Recent Advances
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93. Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining
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94. Systematic review of bankruptcy prediction models: Towards a framework for tool selection
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