Protecting Sensitive Association Rules in Privacy Preserving Data Mining Using Genetic Algorithms

Privacy and security risks taken place from the application of different data mining techniques to great organizational data storehouses have been exclusively inspected by a new research domain, the so-called privacy preserving data mining. Association rule hiding is one of the privacy preserving techniques which study the problem of hiding sensitive association rules. There are many algorithms and techniques were developed to solve this problem. In this research paper, the authors have used genetic algorithm optimization technique for protecting sensitive association rules.

Provided by: International Journal of Computer Applications Topic: Big Data Date Added: Nov 2011 Format: PDF

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