Privacy Protection in Association Rule Mining

Abstract

Data mining technology has emerged as a means for identifying patterns and trends from large sets of data. Mining encompasses various algorithms, such as discovery of association rules, clustering, classification and prediction. While classification and prediction techniques are used to extract models describing important data classes or to predict future data trends, clustering is the process of grouping a set of physical or abstract objects into classes of similar objects.