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...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Boston, MA :
Springer US,
2010.
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Σειρά: | Advances in Database Systems,
41 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.