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Data privacy

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Data privacy studies methods, tools, and theory to avoid the disclosure of sensitive information. Its origin is in statistics with the goal to ensure the confidentiality of data gathered from census and questionnaires. The topic was latter introduced in computer science and more particularly in data mining, where due to the large amount of data currently available, has attracted the interest of researchers, practitioners, and companies. In this paper we will review the main topics related to data privacy and privacy‐enhancing technologies. This article is categorized under: Algorithmic Development > Association Rules Application Areas > Data Mining Software Tools
Classification of methods for data privacy based on three dimensions.
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Application Areas > Data Mining Software Tools
Algorithmic Development > Association Rules

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