Dimitrakakis Privacy and Security Issues in Data Mining and Machine Learning

Privacy and Security Issues in Data Mining and Machine Learning

von

International ECML/PKDD Workshop, PSDML 2010, Barcelona, Spain, September 24, 2010. Revised Selected Papers

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Beschreibung

This book constitutes the refereed proceedings of the International ECML/PKDD Workshop on Privacy and Security Issues in Data Mining and Machine Learning, PSDML 2010, held in Barcelona, Spain, in September 2010. The 11 revised full papers presented were carefully reviewed and selected from 21 submissions. The papers range from data privacy to security applications, focusing on detecting malicious behavior in computer systems.
Fast-track conference proceedings State-of-the-art research Up-to-date results

Autor*in

Christos Dimitrakakis

Themen in »Privacy and Security Issues in Data Mining and Machine Learning«

anomality detection anonymity classifier systems differential privacy network attach detection privacy-preserving data mining recommender systems sensitive data protection social network privacy supervised learning

Stimmen zu »Privacy and Security Issues in Data Mining and Machine Learning«

Details

ISBN: 9783642198953
Verlag: Springer Berlin
Erscheinung: 17.03.2011

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