Privacy preserving clustering by data transformation.
Related work. Basic concepts. The basics of data perturbation. The basics of imaging geometry. The family of geometric data transformation methods. Basic definitions. The translation data perturbation method. The scaling data perturbation method. The rotation data perturbation method. The hybrid data perturbation method. Experimental results. Methodology. Measuring effectiveness. Quantifying privacy. Improving privacy. Conclusions.
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| Main Authors: | , |
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| Other Authors: | |
| Format: | Anais e Proceedings de eventos biblioteca |
| Language: | English eng |
| Published: |
2004-04-20
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| Subjects: | Preservação de privacidade, Clusterização, Mineração de dados, Data Perturbation Method, Data mining, Cluster analysis, |
| Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/8874 |
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| Summary: | Related work. Basic concepts. The basics of data perturbation. The basics of imaging geometry. The family of geometric data transformation methods. Basic definitions. The translation data perturbation method. The scaling data perturbation method. The rotation data perturbation method. The hybrid data perturbation method. Experimental results. Methodology. Measuring effectiveness. Quantifying privacy. Improving privacy. Conclusions. |
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