Data Mining and Knowledge Discovery
Global vs Local Interpretability
Model-Agnostic vs Model-Specific Methods
Intrinsic vs Post-Hoc Interpretability
Permutation Importance
Feature Contribution Methods
Partial Dependence Plots
SHAP Values
LIME Algorithm
Local Surrogate Models
Counterfactual Explanations
Model Distillation
Rule Extraction
Global Surrogate Models
Decision Tree Visualization
Feature Space Visualization
Cluster Visualization
Association Rule Visualization
Network Visualization
Rule-Based Representations
Semantic Networks
Ontologies
Report Generation
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9. Model Evaluation and Validation
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11. Deployment and Production Systems