Utility Promises of Self-Organising Maps in Privacy Preserving Data Mining

Mathematics

• Privacy Preserving Data Mining 100%
• Self-organizing Map 74%
• Privacy 53%
• Information Loss 24%
• Data Mining 19%
• Grouping 19%
• Privacy Protection 13%
• Quality Measures 12%
• Hybrid Approach 11%
• Clustering Algorithm 11%
• Dimensionality Reduction 10%
• High-dimensional Data 9%
• Clustering 7%
• Evidence 6%
• Knowledge 6%
• Model 5%
• Generalise 4%

Engineering & Materials Science

• Self organizing maps 56%
• Data mining 41%
• Dimensionality reduction 18%
• Data privacy 17%
• Clustering algorithms 15%
• Big data 15%