Induction of decision trees

Cited by (1,063)

Items 701–800 of 1,063

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9. Fault detection and diagnosis based on C4.5 decision tree algorithm for grid connected PV system
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10. The security of machine learning in an adversarial setting: A survey
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11. Iterative Optimization and Simplification of Hierarchical Clusterings
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12. Machine Learning Based Toxicity Prediction: From Chemical Structural Description to Transcriptome Analysis
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13. Very High Resolution Multiangle Urban Classification Analysis
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14. Globally optimal fuzzy decision trees for classification and regression
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15. Introduction to Data Mining
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16. MLC++: a machine learning library in C++
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17. Approximate Boolean Reasoning: Foundations and Applications in Data Mining
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18. Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking
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19. Comparing Deep Learning and Shallow Learning for Large-Scale Wetland Classification in Alberta, Canada
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20. Artificial intelligence for satellite communication: A review
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21. Data mining for customer service support
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22. Machine Learning in Medical Applications
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23. Data‐Driven Materials Innovation and Applications
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24. Comparison of Classifiers for the Risk of Diabetes Prediction
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25. Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey
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26. An improved Dragonfly Algorithm for feature selection
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27. Model-based monitoring of dynamic systems
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28. Data Mining: A Prediction for Performance Improvement of Engineering Students using Classification
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29. Temporal classification : extending the classification paradigm to multivariate time series
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30. Review: machine learning techniques applied to cybersecurity
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31. Automated segmentation and classification of brain stroke using expectation-maximization and random forest classifier
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32. Constructive induction on decision trees
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33. DECISION TREES AS PROBABILISTIC CLASSIFIERS
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34. Theory-Guided Machine Learning in Materials Science
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35. The influence of relative humidity on adaptive thermal comfort
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36. Regression conformal prediction with random forests
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37. Categorizing feature selection methods for multi-label classification
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38. A machine learning-based FinTech cyber threat attribution framework using high-level indicators of compromise
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39. Machine learning as an experimental science
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40. A Practical Differentially Private Random Decision Tree Classifier
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41. Semantic classification of urban buildings combining VHR image and GIS data: An improved random forest approach
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42. Does cost-sensitive learning beat sampling for classifying rare classes?
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43. Investigations of data-driven closure for subgrid-scale stress in large-eddy simulation
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44. Searching for Dependencies in Bayesian Classifiers
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45. Nearest neighbor classification from multiple feature subsets
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46. MDL-based decision tree pruning
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47. Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps
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48. Structural equation model trees.
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49. A Survey on Decision Tree Algorithm for Classification
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50. On the unknown attribute values in learning from examples
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51. Including landmarks in routing instructions
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52. PCA filtering and probabilistic SOM for network intrusion detection
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53. Combining complex networks and data mining: Why and how
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54. Facial Expression Recognition Using Computer Vision: A Systematic Review
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55. Comprehensive comparative study of multi-label classification methods
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56. Active learning: theory and applications
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57. Rule-based Machine Learning Methods for Functional Prediction
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58. A hybrid sales forecasting system based on clustering and decision trees
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59. Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates
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60. A Deep Neural Network Model using Random Forest to Extract Feature Representation for Gene Expression Data Classification
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61. Big data analytics to identify illegal construction waste dumping: A Hong Kong study
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62. S/HIC: Robust Identification of Soft and Hard Sweeps Using Machine Learning
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63. On the platform but will they buy? Predicting customers' purchase behavior using deep learning
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64. How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences
    Shijie Jiang, Lily‐belle Sweet, Georgios Blougouras, Alexander Brenning, Wantong Li, Markus Reichstein, Joachim Denzler, Wei Shangguan, Guo Yu, Feini Huang et al. · 2024 · Earth s Future
65. Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments
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66. Rank Entropy-Based Decision Trees for Monotonic Classification
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67. Distributed feature selection: An application to microarray data classification
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68. Relevance–redundancy feature selection based on ant colony optimization
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69. Text Clustering with Feature Selection by Using Statistical Data
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70. Selecting Attributes for Sentiment Classification Using Feature Relation Networks
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71. Hierarchical Mixtures of Experts and the EM Algorithm
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72. A cross-domain collaborative filtering algorithm with expanding user and item features via the latent factor space of auxiliary domains
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73. Efficient and Secure Decision Tree Classification for Cloud-Assisted Online Diagnosis Services
    Jinwen Liang, Zheng Qin, Sheng Xiao, Lu Ou, Xiaodong Lin · 2019 · IEEE Transactions on Dependable and Secure Computing
74. Cyber Intrusion Detection Using Machine Learning Classification Techniques
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75. Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques
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76. Automated Postediting of Documents
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77. At Your Service: Designing Voice Assistant Personalities to Improve Automotive User Interfaces
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78. Analyzing and Predicting User Participations in Online Health Communities: A Social Support Perspective
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79. A note on the utility of incremental learning
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80. Learning from Accidents
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81. RIoTBench: An IoT benchmark for distributed stream processing systems
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82. CNFE-SE: a novel approach combining complex network-based feature engineering and stacked ensemble to predict the success of intrauterine insemination and ranking the features
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83. A hybrid ensemble-based deep-learning framework for landslide susceptibility mapping
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84. Detecting Application-Level Failures in Component-Based Internet Services
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85. Conversational Case-Based Reasoning
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86. Decision trees for uplift modeling with single and multiple treatments
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87. Big data analytics and business analytics
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88. Estimating vegetation height and canopy cover from remotely sensed data with machine learning
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89. Repeated labeling using multiple noisy labelers
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90. Subpixel Urban Land Cover Estimation
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91. Adaptive imputation of missing values for incomplete pattern classification
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92. Simulating California reservoir operation using the classification and regression‐tree algorithm combined with a shuffled cross‐validation scheme
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93. Machine Learning for Accelerated Discovery of Solar Photocatalysts
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94. A genetic algorithm for generating fuzzy classification rules
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95. Early Prediction of Heart Diseases Using Data Mining Techniques
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96. Comparing machine learning classifiers in potential distribution modelling
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97. The discovery of experts' decision rules from qualitative bankruptcy data using genetic algorithms
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98. Perceptron Trees: A Case Study in Hybrid Concept Representations
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99. Exploiting sound signals for fault diagnosis of bearings using decision tree
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100. Measuring relevance between discrete and continuous features based on neighborhood mutual information
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