Detecting privacy and ethical sensitivity in data mining results
Peter Fule, John F. Roddick · 2004
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.