Association Rule Hiding for Data Mining
Privacy and security risks arising from the application of different data mining techniques to large institutional data repositories have been solely investigated by a new research domain, the so-called privacy preserving data mining. Association rule hiding is a new technique on data mining, which...
Call Number: | Libro Electrónico |
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Main Authors: | , |
Corporate Author: | |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
New York, NY :
Springer US : Imprint: Springer,
2010.
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Edition: | 1st ed. 2010. |
Series: | Advances in Database Systems ;
41 |
Subjects: | |
Online Access: | Texto Completo |
Table of Contents:
- Fundamental Concepts
- Background
- Classes of Association Rule Hiding Methodologies
- Other Knowledge Hiding Methodologies
- Summary
- Heuristic Approaches
- Distortion Schemes
- Blocking Schemes
- Summary
- Border Based Approaches
- Border Revision for Knowledge Hiding
- BBA Algorithm
- Max-Min Algorithms
- Summary
- Exact Hiding Approaches
- Menon's Algorithm
- Inline Algorithm
- Two-Phase Iterative Algorithm
- Hybrid Algorithm
- Parallelization Framework for Exact Hiding
- Quantifying the Privacy of Exact Hiding Algorithms
- Summary
- Epilogue
- Conclusions
- Roadmap to Future Work.