Datamining, an urging requirement in the current era and whose scope of research is expected to be for upcoming decades. Among the well versed techniques of data mining association rule mining plays a prodigious role. This technique emphasizes on curious association, correlations, frequent patterns etc. from the given data sources to be mined. The primary task of association mining resides in uncovering the frequent patterns and exploring the association rules. Multiple variation of association rule mining algorithms with regard to their performance factors are available. One important constraint entailing the extraction of association rules is, privacy preserving of sensitive data. There is a need to maintain a sustainable ratio between protection of privacy and knowledge discovery. This paper enlightens and reviews the various association mining techniques with respect to their privacy preserving capabilities and also adds a pinch on the tools preferred for such privacy.
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