Iterative rule extension for logic analysis of data: An MILP-based heuristic to derive interpretable binary classification from large datasets

Keyphrases

• Input-output 100%
• Binary Classification 100%
• Logic Analysis 100%
• MIP Heuristics 100%
• Boolean 60%
• Disjunctive Normal Form 40%
• Prediction Accuracy 20%
• Computational Complexity 20%
• Classification Methods 20%
• Prediction Method 20%
• Receiver Operating Characteristic Curve 20%
• Binary Data 20%
• Number of Features 20%
• Data-driven Decision Making 20%
• Sampling numbers 20%
• Efficient Computation 20%
• Mixed Integer Linear Programming 20%
• Trade-off Curve 20%
• Interpretable Classification 20%
• Interpretable Prediction 20%

Computer Science

• Large Data Set 100%
• Data Analysis 100%
• Binary Classification 100%
• Disjunctive Normal Form 66%
• Decision-Making 33%
• Computational Complexity 33%
• Classification Method 33%
• Interpretability 33%
• Efficient Computation 33%
• Mixed-Integer Linear Programming 33%
• Prediction Accuracy 33%
• Characteristic Curve 33%