Privacy - Preserving Data Publishing
نویسنده
چکیده
The success of data mining relies on the availability of high quality data. To ensure quality data mining, effective information sharing between organizations becomes a vital requirement in today's society. Since data mining often involves person-specific and sensitive information like medical records, the public has expressed a deep concern about their privacy. Privacy-preserving data publishing is a study of eliminating privacy threats while, a t the same time, preserving useful information in the released data for data mining. It is different from the study of privacy-preserving data mining which performs some actual data mining task. This thesis identifies a collection of privacy threats in real life data publishing, and presents a unified solution to address these threats.
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Data collection and storage has been facilitated by the growth in electronic services, and has led to recording vast amounts of personal information in public and private organizations databases. These records often include sensitive personal information (such as income and diseases) and must be covered from others access. But in some cases, mining the data and extraction of knowledge from thes...
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