Data Mining with Decision Trees: Theory and Applications, 2nd Edition

Keyphrases

• Decision Tree 100%
• Decision Tree Theory 100%
• Big Data 40%
• Open Data 40%
• Decision Tree Learning 40%
• New Subjects 40%
• Popular 20%
• Performance Prediction 20%
• Computational Effort 20%
• Lessons Learned 20%
• Knowledge Discovery 20%
• Active Learning 20%
• Privacy-preserving 20%
• Numerics 20%
• Learning Lessons 20%
• Classification Features 20%
• Useful Patterns 20%
• Feature Selection 20%
• Classification Task 20%
• Imbalanced Data 20%
• Uncertain Data 20%
• First Edition 20%
• Classification via Regression 20%
• Cost-sensitive 20%
• Classification via Clustering 20%
• Complex Bodies 20%
• Knowledge Data 20%
• Regression Clustering 20%
• Comparative Learning 20%
• Task Privacy 20%
• Data Mining Software 20%

Computer Science

• Data Mining 100%
• Decision Tree 100%
• Open Source 25%
• Big Data 25%
• Computational Effort 12%
• Knowledge Discovery 12%
• Privacy Preserving 12%
• Classification Task 12%
• Popular Approach 12%
• Feature Selection 12%
• Predictive Performance 12%
• Active Learning 12%
• Data Mining Package 12%
• Imbalanced Data 12%
• Feature Extraction 12%