Because data mining can threaten privacy, researchers have looked into ways to protect privacy during data-mining operations. A naïve and ineffective approach is trying to remove all identifying information from databases being mined. Sometimes, however, the identifying information is necessary for the mining and may even be the goal of data mining. More importantly, identification may be possible even when the overt identifying information is removed from a database.
Data mining usually employs two approaches—correlation and aggregation. We examine techniques to preserve privacy with each of those approaches.Of course, by destroying the links in the database, we also deny researchers the ability to examine the data for other connections; for example, if the first table also contained age, researchers might want to analyze the data to see if age of patient correlates with presence of diabetes.
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