Privacy-Preserving Data Mining Techniques: Survey and Challenges
作者： Stan Matwin
DOI: 10.1007/978-3-642-30487-3_11
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摘要: This chapter presents a brief summary and review of Privacy-preserving Data Mining (PPDM). The the existing approaches is structured along tentative taxonomy PPDM as field. main axes this specify what kind data being protected, ownership (centralized or distributed). We comment on relationship between preventing discriminatory use mining techniques. round up by discussing some new, arising challenges before
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