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The discovery of association rules from large databases has proven beneficial for companies since such rules can be very effective in revealing actionable knowledge that leads to strategic decisions. In tandem with this benefit, association rule mining can also pose a threat to privacy protection. The main problem is that from non-sensitive information or unclassified data, one is able to infer sensitive information, including personal information, facts, or even patterns that are not supposeddoi:10.1109/ideas.2003.1214911 dblp:conf/ideas/OliveiraZ03 fatcat:6vbpbprcfndfpatv7qoi5othwa