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Preservation of privacy in data mining has emerged as an absolute prerequisite for exchanging confidential information in terms of data analysis, validation, and publishing. Ever-escalating internet phishing posed severe threat on widespread propagation of sensitive information over the web. Conversely, the dubious feelings and contentions mediated unwillingness of various information providers towards...
k-anonymity is an effective method to protect individual's privacy for microdata publishing. However, the existing anonymity methods do not consider how to mask data for a specific application. This paper proposes an anonymity method for classification with weighted attributes. The method first evaluates the weight of each attribute for classification, then proposes an attribute weighted Bottom-Up...
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