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Privacy-preserving data mining considers the problem of running data mining algorithms on confidential data that is not supposed to be revealed even to the party running the algorithm. The aim of a secure multiparty computation task is for the participating parties to securely compute some function of their distributed and private inputs. Privacy is one of the most important properties of an information system must satisfy, in which systems the need to share information among different, not trusted entities, the protection of sensible information has a relevant role. Thus, privacy is becoming an increasingly important issue in many data mining applications.
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