An Efficient Algorithm for Classification Rule Hiding

Data mining is the extraction of the hidden information from large databases. It is a powerful technology with new great potential to analyze important information in the data warehouse. Preserving privacy against data mining algorithms is a new research area. It investigates the side-effects of data mining methods that derive from the privacy diffusion of persons and organizations. Privacy preserving data mining is the emerging field that protects sensitive data. Classification is one of the popular techniques of data mining. Classification is a data mining technique used to predict group membership for data instances. Classification involves finding rules that partition the data into disjoint groups.

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

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