Privacy, Security, and Trust in KDD

First ACM SIGKDD International Workshop, PinKDD 2007, San Jose, CA, USA, August 12, 2007, Revised, Selected Papers

192 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Reihe: Lecture Notes in Computer Science
• Themen: Informatik und Informationstechnologie Allgemeine Themen Soziale und ethische Aspekte
• ISBN: 9783540784777
• Sprache: Englisch
• Erscheinungsdatum: 18.03.2008
• Größe: 235 x 155 mm
• Verlag: Springer
• Herausgegeben von: Yücel Saygin, Elena Ferrari, Francesco Bonchi, Bradley Malin