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Showing 1 to 5 of 5 for “"Privacy Preserving Data Publishing"”.

  1. Privacy-preserving data publishing and analytics using data cubes

    Data cubes play an essential role in data analysis and decision support. In a data cube, data from a fact table is aggregated on subsets of the table's dimensions, forming a collection of smaller tables called cuboids. When the fact table includes sensitive data such as salary or diagnosis, …

    uiuc Repository record for Privacy-preserving data publishing and analytics using data cubes (opens in a new tab)

  2. Methods to achieve t-closeness for privacy preserving data publishing

    Privacy Preserving Data Publishing is an area of research focused on developing methods of anonymizing sensitive relational data such that it can be published without compromising the privacy of the individuals the data represents. The t-closeness technique is one of the most popular techniques for …

    wichita-thes Repository record for Methods to achieve t-closeness for privacy preserving data publishing (opens in a new tab)

  3. Task Oriented Privacy-preserving (TOP) Technologies Using Automatic Feature Selection

    … of digital information collected and stored in datasets creates vast opportunities for knowledge discovery and data mining. These datasets, however, may contain sensitive information about individuals and, therefore, it is imperative to ensure that their privacy is protected. Most research in …

    ottawa-retro Repository record for Task Oriented Privacy-preserving (TOP) Technologies Using Automatic Feature Selection (opens in a new tab)