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.
by Bonchi, Francesco [editor.]; Ferrari, Elena [editor.]; Malin, Bradley [editor.]; Saygin, Yücel [editor.]; SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 4890Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.Description: online resource.ISBN: 9783540784784.Subject(s): Computer science | Computer Communication Networks | Data mining | Information systems | Computers -- Law and legislation | Information Systems | Computer Science | Information Systems Applications (incl.Internet) | Data Mining and Knowledge Discovery | Computer Communication Networks | Computers and Society | Legal Aspects of Computing | Management of Computing and Information SystemsDDC classification: 005.7 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | QA76.76.A65 (Browse shelf) | Available |
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| QA76.76.A65 Combinatorial and Algorithmic Aspects of Networking | QA76.76.A65 Advances in Web Based Learning – ICWL 2007 | QA76.76.A65 Business Process Management Workshops | QA76.76.A65 Privacy, Security, and Trust in KDD | QA76.76.A65 Semantic Service Provisioning | QA76.76.A65 Information Systems and e-Business Technologies | QA76.76.A65 Model-Based Software and Data Integration |
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.
This book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Privacy, Security, and Trust in KDD, PinKDD 2007, held in San Jose, CA, USA, in August 2007 in conjunction with the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2007. The 8 revised full papers presented together with 1 keynote lecture were carefully reviewed and selected from numerous submissions. The papers address all prevailing topics concerning privacy, security, and trust aspects of data mining and knowledge discovery. Special focus is put on applied domains such as healthcare, ubiquitous computing, and location-based services.
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