A Database Sanitizing Algorithm for Hiding Sensitive Multi-Level Association Rule Mining

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Provided by: International Association of Computer Science & Information Technology (IACSIT)
Topic: Big Data
Format: PDF
The sharing of information has been proven to be beneficial for business partnerships in many application areas such as business planning or marketing. Today, association rule mining imposes threats to data sharing, since it may disclose patterns and various kinds of sensitive knowledge that are difficult to find. Such information must be protected against unauthorized access. The challenge is to protect actionable knowledge for strategic decisions, but at the same time not to lose the great benefit of association rule mining.
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