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Yucel Saygin
Researcher at Sabancı University
Publications - 118
Citations - 4324
Yucel Saygin is an academic researcher from Sabancı University. The author has contributed to research in topics: Information privacy & Privacy software. The author has an hindex of 26, co-authored 115 publications receiving 4078 citations. Previous affiliations of Yucel Saygin include Bilkent University & Polytechnic University of Puerto Rico.
Papers
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Journal ArticleDOI
State-of-the-art in privacy preserving data mining
Vassilios S. Verykios,Elisa Bertino,Igor Nai Fovino,Loredana Parasiliti Provenza,Yucel Saygin,Yannis Theodoridis +5 more
TL;DR: An overview of the new and rapidly emerging research area of privacy preserving data mining is provided, and a classification hierarchy that sets the basis for analyzing the work which has been performed in this context is proposed.
Journal ArticleDOI
Association rule hiding
TL;DR: This work investigates confidentiality issues of a broad category of rules, the association rules, and presents three strategies and five algorithms for hiding a group of associationrules, which is characterized as sensitive.
Journal ArticleDOI
Using unknowns to prevent discovery of association rules
TL;DR: This work introduces a method for selectively removing individual values from a database to prevent the discovery of a set of rules, while preserving the data for other applications.
Journal Article
Towards Trajectory Anonymization: a Generalization-Based Approach
TL;DR: A utility metric that maximizes the probability of a good representation and a novel generalization-based approach that applies to trajectories and sequences in general are presented and proposed to address time and space sensitive applications.
Proceedings ArticleDOI
Privacy preserving association rule mining
TL;DR: New metrics are introduced in order to demonstrate how security issues can be taken into consideration in the general framework of association rule mining, and it is shown that the complexity of the new heuristics is similar to that of the original algorithms.