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 107
- Downloads 0
EFFICIENT ESTIMATION ALGORITHM FOR ARMA MODEL FOR COLOURED NOISE
In this paper, a modified estimation algorithm has been developed refers to Covariance Shaping Least Square (CSLS) estimation based on the quantum mechanical concepts and constraints. The algorithm has been applied to Au...
KEYWORD EXTRACTION FOR PUNJABI LAGUAGE
This paper introduces keyword extraction for Punjabi language. Keywords are the index terms that contain the most important information about the contents of the document. Automatic keyword extraction is the task to iden...
DATA MINING CLASSIFICATION TECHNIQUES APPLIED FOR BREAST CANCER DIAGNOSIS AND PROGNOSIS
Breast Cancer Diagnosis and Prognosis are two medical applications pose a great challenge to the researchers. The use of machine learning and data mining techniques has revolutionized the whole process of breast cancer D...
A NOVEL METHOD FOR FINDING PRIVACY PRESERVING ASSOCIATION RULE MINING
Association rule mining is one of the significant research areas which explore the association between various item sets. The issue of privacy arises when several legitimate people share their data or knowledge for their...
A Review of Petri Net Modeling of Dynamical Systems
Petri nets are graphical and mathematical modeling tools which are gaining popularity in recent years. It is a tool for the representation of complex logical systems, such as synchronization, sequentially, concurrency an...