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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Gkoulalas-Divanis, Aris (Autor), Verykios, Vassilios S. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Advances in Database Systems ; 41
Temas:
Database management.
Application software.
Artificial intelligence.
Data structures (Computer science).
Information theory.
Algorithms.
Computers.
Database Management.
Computer and Information Systems Applications.
Artificial Intelligence.
Data Structures and Information Theory.
Hardware Performance and Reliability.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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