David Jeacocke

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This paper presents an application of association rule mining in compliance in the context of health service management. There are approximately 500 million transactions processed by Medicare Australia each year. Among these transactions, there exist a small proportion of suspicious claims. This study applied association rule mining to examine billing(More)
This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework that brings together disparate data mining techniques is adopted. Several generally applicable techniques for extracting features from spatial and temporal data are also(More)
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