ClaMPP: A cloud-based multi-party privacy preserving classification scheme for distributed applications

H Kaur, N Kumar, S Batra - The Journal of Supercomputing, 2019 - Springer
Privacy preservation in a distributed environment is a challenging task as it requires efficient
control strategies for authentication and integrity preservation of various users and …

Estimating NBC-based recommendations on arbitrarily partitioned data with privacy

I Yakut, H Polat - Knowledge-Based Systems, 2012 - Elsevier
Providing partitioned data-based recommendations has been receiving increasing attention
due to mutual advantages. In case of limited data, it is not likely to estimate accurate and …

Pp-tan: a privacy preserving multi-party tree augmented naive Bayes classifier

ME Skarkala, M Maragoudakis… - 2020 5th South-East …, 2020 - ieeexplore.ieee.org
The rapid growth of Information and Communication Technologies emerges deep concerns
on how data mining techniques and intelligent systems parse, analyze and manage …

PPDM-TAN: a privacy-preserving multi-party classifier

ME Skarkala, M Maragoudakis, S Gritzalis, L Mitrou - Computation, 2021 - mdpi.com
Distributed medical, financial, or social databases are analyzed daily for the discovery of
patterns and useful information. Privacy concerns have emerged as some database …

PPDM-TAN: A Privacy-Preserving Multi-Party Classifier. Computation 2021, 9, 6

ME Skarkala, M Maragoudakis, S Gritzalis, L Mitrou - 2021 - search.proquest.com
Distributed medical, financial, or social databases are analyzed daily for the discovery of
patterns and useful information. Privacy concerns have emerged as some database …

Privacy Preserving Naïve Bayesian Classifier Based on Transition Probability Matrix

X Yang, Y Liu, Z Li, J Mo - 2011 Seventh International …, 2011 - ieeexplore.ieee.org
Recently, lots of researchers pay attention to privacy preserving data mining, which can
discover useful knowledge and concurrently preserve the data privacy. In this paper, we …

Privacy-preserving collaborative filtering on arbitrarily partitioned data

İ Yakut - 2012 - search.proquest.com
Data collected for collaborative filtering purposes might be arbitrarily partitioned between
two parties, even rival companies. Online vendors might have insufficient user ratings …

[CITATION][C] Privacy preserving data mining

ΜΕ Σκαρκαλά - 2021