Improving accuracy of classification models induced from anonymized datasets

Keyphrases

• Classification Accuracy 100%
• Anonymization Algorithm 100%
• Accuracy Improvement 100%
• Classification Model 100%
• Anonymized Dataset 100%
• Anonymity 50%
• Anonymization 50%
• Data Miner 50%
• Privacy-preserving Data Publishing 50%
• Frequency Distribution 50%
• Classification Algorithms 50%
• Private Sector Organizations 50%
• Value Distribution 50%
• Sensitive Attribute 50%
• Loss Measure 50%
• Public Organizations 50%
• Sensitive Domains 50%
• Diversity Parameters 50%
• Data Mining Model 50%
• Digital Data 50%

Computer Science

• Anonymization 100%
• Classification Models 100%
• Anonymity 33%
• Collected Data 33%
• Privacy Preserving 33%
• Sensitive Informations 33%
• Preserving Data Publishing 33%
• Information Loss 33%
• Classification Algorithm 33%
• Sensitive Attribute 33%
• Sensitive Domain 33%
• Private Organization 33%
• Homogeneous Generalization 33%
• Data Mining Model 33%
• Public Organization 33%