2004 · 62 citations · 14 references
Knowledge discovery allows considerable insight into data. This brings with it the inherent risk that what is inferred may be private or ethically sensitive. The process of generating rules through a mining operation becomes an ethical issue when the results are used in decision making processes that e#ect people, or when mining customer data unwittingly compromises the privacy of those customers.
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Privacy-preserving data mining
Rakesh Agrawal, Ramakrishnan Srikant · ACM SIGMOD Record · 2000 · 3K citations
Privacy-preserving Data Mining, Engineering, Machine Learning +23
Tools for privacy preserving distributed data mining
Chris Clifton, Murat Kantarcıoğlu, Jaideep Vaidya et al. · ACM SIGKDD Explorations Newsletter · 2002 · 888 citations
Privacy preserving mining of association rules
Alexandre Evfimievski, Ramakrishnan Srikant, Rakesh Agrawal et al. · 2002 · 785 citations
Engineering, Information Security, Uniform Randomization +19