Spherical microaggregation: Anonymizing sparse vector spaces

Abstract Unstructured texts are a very popular data type and still widely unexplored in the privacy preserving data mining field. We consider the problem of providing public information about a set of confidential documents. To that end we have developed a method to protect a Vector Space Model (VSM), to make it public even if the documents it represents are private. This method is inspired by microaggregation, a popular protection method from statistical disclosure control, and adapted to work with sparse and high dimensional data sets. URL http://www.sciencedirect.com/science/article/pii/S0167404814001679 [8] Source URL: https://www.iiia.csic.es/en/node/53885 Links [1] https://www.iiia.csic.es/en/staff/daniel-abril [2] https://www.iiia.csic.es/en/staff/guillermo-navarro-arribas [3] https://www.iiia.csic.es/en/staff/vicen%C3%A7-torra [4] https://www.iiia.csic.es/en/bibliography?f[keyword]=565 [5] https://www.iiia.csic.es/en/bibliography?f[keyword]=440 [6] https://www.iiia.csic.es/en/bibliography?f[keyword]=694 [7] https://www.iiia.csic.es/en/bibliography?f[keyword]=695 [8] http://www.sciencedirect.com/science/article/pii/S0167404814001679