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Mangai Begum, R.
- ABC of PPDM-Attack Based Classification of Privacy Preserving Data Mining
Abstract Views :167 |
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Source
Data Mining and Knowledge Engineering, Vol 6, No 1 (2014), Pagination: 30-34Abstract
In recent years, the data mining techniques have met a serious challenge due to an increased concerned and worries of the privacy that is protecting the privacy of the critical and sensitive data. Different techniques and algorithms have been already presented for PPDM which could be classified in three common approaches. 1) Anonymization approach 2) Randomization approach 3) Cryptographic approach. This paper provides on the types of attacks and attack based classification of privacy preservation data mining, as a foundation for further research in this field.Keywords
PPDM, Anonymization, Randomization, Cryptographic.- Predicting the Learning Behavior of Students Based on Personality Trait and Comparing the Classification Algorithms
Abstract Views :174 |
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Authors
R. Mangai Begum
1,
K. David
2
Affiliations
1 Bharathiar University, Coimbatore, IN
2 Department of CSE, Roever Engg. College, Perambalur-621212, IN
1 Bharathiar University, Coimbatore, IN
2 Department of CSE, Roever Engg. College, Perambalur-621212, IN