ANONYMIZATION BASED ON NESTED CLUSTERING FOR PRIVACY PRESERVATION IN DATA MINING
Journal Title: Indian Journal of Computer Science and Engineering - Year 2013, Vol 4, Issue 3
Abstract
Privacy Preservation in data mining protects the data from revealing unauthorized extraction of information. Data Anonymization techniques implement this by modifying the data, so that the original values cannot be acquired easily. Perturbation techniques are variedly used which will greatly affect the quality of data, since there is a trade-off between privacy preservation and information loss which will subsequently affect the result of data mining. The method that is proposed in this paper is based on nested clustering of data and perturbation on each cluster. The size of clusters is kept optimal to reduce the information loss. The paper explains the methodology, implementation and results of nested clustering. Various metrics are also provided to explicate that this method overcomes the disadvantages of other perturbation methods.
Authors and Affiliations
V. Rajalakshmi , G. S. Anandha Mala
Keywords
Related Articles
- EP ID EP146373
- DOI -
- Views 113
- Downloads 0
Xilinx and Modelsim Habitat for Design of ECC Co-Processor Architecture
Xilinx is a most significant synthesizing tool for controller design in various engineering field specifically industrial engineering, instrumentation engineering, robotics, telecommunication, computer science engineerin...
DETECTION OF CROSS-PROJECT BENEFICIAL CLONES
Duplicate codes are also known as code clones. They are considered as one of the main factors that deteriorate the quality of software. They are usually discarded by using automatic clone detection tools. In this paper t...
A STUDY ON DIFFERENT FEATURE EXTRACTION TECHNIQUES FOR LESION IDENTIFICATION IN MRI BREAST IMAGES
This study discusses the different feature extraction techniques for lesion identification in Dynamic Contrast Enhancement - Magnetic Resonance Imaging (DCE - MRI) of Breast. In DCE- MRI, kinetic feature extraction is a...
AN EFFICIENT TEXT CLUSTERING ALGORITHM USING AFFINITY PROPAGATION
The objective is to find among all partitions of the data set, best publishing according to some quality measure. Affinity propagation is a low error, high speed, flexible, and remarkably simple clustering algorithm that...
An Efficient Algorithm for Image Enhancement
In the digital image processing field enhancement and removing the noise in the image is a critical issue. We have proposed a new algorithm to enhance color Image corrupted by Gaussian noise using fuzzy logic which descr...