An Efficient Approximate Protocol for Privacy-Preserving Association Rule Mining

Lecture Notes in Computer Science - Germany
doi 10.1007/978-3-642-01307-2_48
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Berlin Heidelberg

Related search

Efficient Method in Association Rule Hiding for Privacy Preserving With Data Mining Approach

Ingenierie des Systemes d'Information
Information Systems
2019English

A Comprehensive Survey of Privacy Preserving Algorithm of Association Rule Mining in Centralized Database

International Journal of Computer Applications
2011English

An Efficient Reversible Privacy-Preserving Data Mining Technology Over Data Streams

SpringerPlus
Multidisciplinary
2016English

Efficient, Secure and Privacy-Preserving PMIPv6 Protocol for V2G Networks

IEEE Transactions on Vehicular Technology
Electronic EngineeringAutomotive EngineeringComputer NetworksApplied MathematicsCommunicationsElectricalAerospace Engineering
2019English

Privacy Preserving Association Rule Hiding Techniques: Current Research Challenges

International Journal of Computer Applications
2016English

Privacy Preserving Decomposable Mining Association Rules on Distributed Data

International Journal of Engineering and Technology(UAE)
ArchitectureHardwareEngineeringChemical EngineeringBiotechnologyEnvironmental EngineeringComputer Science
2018English

An Enhanced Approach for Privacy Preserving Data Mining (PPDM)

International Journal of Recent Trends in Engineering and Research
2018English

Privacy-Preserving Mining of Sequential Association Rules From Provenance Workflows

2016English

Privacy-Preserving Distributed Mining of Association Rules on Horizontally Partitioned Data

IEEE Transactions on Knowledge and Data Engineering
Computational TheoryComputer Science ApplicationsInformation SystemsMathematics
2004English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy