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Reducing Side Effects of Hiding Sensitive Itemsets in Privacy Preserving Data Mining
Data mining is traditionally adopted to retrieve and analyze knowledge from large amounts of data. Private or confidential data may be sanitized or suppressed before it is shared or published in public. Privacy preserving data mining (PPDM) has thus become an important issue in recent years. The mos...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4005146/ https://ncbi.nlm.nih.gov/pubmed/24982932 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/235837 |
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