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Hiding Sensitive Association Rules

Abstract:

Data mining techniques have been widely used in various applications. Data mining extracts novel and useful knowledge from large repositories of data and has become an effective analysis and decision means in corporation. The sharing of data for data mining can bring a lot of advantages for research and business collaboration; however, large repositories of data contain private data and sensitive rules that must be protected before published. Motivated by the multiple conflicting requirements of data sharing, privacy preserving and knowledge discovery, privacy preserving data mining has become a research hotspot in data mining and database security fields.


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