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Determining the association rules is a core topic of privacy preserving data mining. This paper aims at giving an overview to some of the previous researches done in this topic, evaluating the current status of the field, and envisioning possible future trends in this area. The concept behind association rules are presented at the beginning. Comparison of different algorithms is provided as part of the evaluation. One of the most cited illustrations for mining association rules is the Market-Basket Problem. As describes, the market-basket problem is about finding out what items people buy together without knowing the person so that marketers can position items accordingly in the store to generate higher volumes of sales and making other kinds of sales decisions.
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