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Data Perturbation by Rotation for Privacy-Preserving Clustering

https://doi.org/10.7939/r3344p
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inferred← citeshttps://doi.org/10.1002/widm.1490openalex-snapshot
Privacy‐preserving data mining and machine learning in healthcare: Applications, challenges, and solutions
inferred← citeshttps://doi.org/10.1007/978-0-387-48533-1_18openalex-snapshot
Privacy-Preserving Data Mining: A Survey
inferred← citeshttps://doi.org/10.1007/978-0-387-70992-5_6openalex-snapshot
A Survey of Randomization Methods for Privacy-Preserving Data Mining
inferred← citeshttps://doi.org/10.1007/978-3-030-04212-7_17openalex-snapshot
Privacy-Preserving K-Means Clustering Upon Negative Databases
inferred← citeshttps://doi.org/10.1007/978-981-13-1810-8_20openalex-snapshot
A Hybrid Approach for Privacy-Preserving Data Mining
inferred← citeshttps://doi.org/10.1016/j.array.2023.100324openalex-snapshot
Efficient perturbation techniques for preserving privacy of multivariate sensitive data
inferred← citeshttps://doi.org/10.1016/j.asoc.2021.107819openalex-snapshot
Securing private information by data perturbation using statistical transformation with three dimensional shearing
inferred← citeshttps://doi.org/10.1016/j.eswa.2017.10.048openalex-snapshot
Data sanitization in association rule mining: An analytical review
inferred← citeshttps://doi.org/10.1016/j.iot.2022.100527openalex-snapshot
Trust-aware and incentive-based offloading scheme for secure multi-party computation in Internet of Things
inferred← citeshttps://doi.org/10.1016/j.jisa.2021.102954openalex-snapshot
An efficient perturbation approach for multivariate data in sensitive and reliable data mining
inferred← citeshttps://doi.org/10.1016/j.jksuci.2016.11.009openalex-snapshot
Privacy preserving data mining with 3-D rotation transformation
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112196openalex-snapshot
CARBO: Clustering and rotation based oversampling for class imbalance learning
inferred← citeshttps://doi.org/10.1108/20439371211260135openalex-snapshot
Privacy preserving method based on GM(1,1) and its application to clustering
inferred← citeshttps://doi.org/10.1109/access.2019.2949782openalex-snapshot
A Comprehensive Survey on Secure Outsourced Computation and Its Applications
inferred← citeshttps://doi.org/10.1109/acmi53878.2021.9528134openalex-snapshot
Effects of Normalization on Rotation Based Perturbation Techniques for Privacy Preservation
inferred← citeshttps://doi.org/10.1109/gsis.2011.6044117openalex-snapshot
Privacy preserving method based on GM(1,1) and its application to data clustering
inferred← citeshttps://doi.org/10.1109/icbda49040.2020.9101288openalex-snapshot
Privacy-Preserving DBSCAN Clustering Algorithm Based on Negative Database
inferred← citeshttps://doi.org/10.1109/isi.2015.7165950openalex-snapshot
A privacy protection procedure for large scale individual level data
inferred← citeshttps://doi.org/10.1109/smart46866.2019.9117391openalex-snapshot
Privacy Preserving Classification using 4-Dimensional Rotation Transformation
inferred← citeshttps://doi.org/10.1145/1529282.1529643openalex-snapshot
Privacy preserving churn prediction
inferred← citeshttps://doi.org/10.17485/ijst/2014/v7i7.17openalex-snapshot
Anonymization by Data Relocation using Sub-clustering for Privacy Preserving Data Mining
inferred← citeshttps://doi.org/10.5772/intechopen.99224openalex-snapshot
Privacy Preserving Data Mining
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