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Utility-preserving transaction data anonymization with low information loss
2012
Expert systems with applications
Transaction data record various information about individuals, including their purchases and diagnoses, and are increasingly published to support large-scale and low-cost studies in domains such as marketing and medicine. However, the dissemination of transaction data may lead to privacy breaches, as it allows an attacker to link an individual's record to their identity. Approaches that anonymize data by eliminating certain values in an individual's record or by replacing them with more general
doi:10.1016/j.eswa.2012.02.179
pmid:22563145
pmcid:PMC3340604
fatcat:tdybvilq55hnnfw4yzabqavaa4