Privacy, Security, and Trust in KDD: First ACM SIGKDD International Workshop, PinKDD 2007, San Jose, CA, USA, August 12, 2007, Revised, Selected Papers

ISBN-13: 9783540784777 / Angielski / Miękka / 2008 / 173 str.

Francesco Bonchi;Elena Ferrari;Bradley Malin

Opis

without sacri?cing the privacy and security of the individuals to whom the data correspond.

Spis treści

Invited Paper.- An Ad Omnia Approach to Defining and Achieving Private Data Analysis.- Contributed Papers.- Phoenix: Privacy Preserving Biclustering on Horizontally Partitioned Data.- Allowing Privacy Protection Algorithms to Jump Out of Local Optimums: An Ordered Greed Framework.- Probabilistic Anonymity.- Website Privacy Preservation for Query Log Publishing.- Privacy-Preserving Data Mining through Knowledge Model Sharing.- Privacy-Preserving Sharing of Horizontally-Distributed Private Data for Constructing Accurate Classifiers.- Towards Privacy-Preserving Model Selection.- Preserving the Privacy of Sensitive Relationships in Graph Data.