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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Detalles Bibliográficos
Autores principales: Lin, Chun-Wei, Hong, Tzung-Pei, Hsu, Hung-Chuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4005146/
https://www.ncbi.nlm.nih.gov/pubmed/24982932
http://dx.doi.org/10.1155/2014/235837

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4005146/
https://www.ncbi.nlm.nih.gov/pubmed/24982932
http://dx.doi.org/10.1155/2014/235837

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