Normal view MARC view ISBD view

Privacy, Security, and Trust in KDD [electronic resource] : First ACM SIGKDD International Workshop, PinKDD 2007, San Jose, CA, USA, August 12, 2007, Revised, Selected Papers / edited by Francesco Bonchi, Elena Ferrari, Bradley Malin, Yücel Saygin.

Contributor(s): Bonchi, Francesco [editor.] | Ferrari, Elena [editor.] | Malin, Bradley [editor.] | Saygin, Yücel [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Information Systems and Applications, incl. Internet/Web, and HCI: 4890Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008Edition: 1st ed. 2008.Description: IX, 173 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540784784.Subject(s): Data protection | Application software | Data mining | Computer networks  | Computers and civilization | Computers -- Law and legislation | Information technology -- Law and legislation | Data and Information Security | Computer and Information Systems Applications | Data Mining and Knowledge Discovery | Computer Communication Networks | Computers and Society | Legal Aspects of ComputingAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.8 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBook
    average rating: 0.0 (0 votes)
No physical items for this record

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.

There are no comments for this item.

Log in to your account to post a comment.