A fast algorithm for mining association rules in medical image data

This paper presents a fast association rule mining algorithm which is suitable for medical image data sets. In particular, it assesses the feasibility of using association rule algorithms to extract hidden information from medical image data sets. In addition, we provide a flavour of our implementation environment. Finally, we show, with an example, how our proposed algorithm works to assess its suitability.