Title :
Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia
Author :
Ng, K.S. ; Shan, Y. ; Murray, D.W. ; Sutinen, A. ; Schwarz, B. ; Jeacocke, D. ; Farrugia, J.
Abstract :
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 discussed. The system was evaluated with input from domain experts and was found to achieve high hit rates. We also discuss some lessons drawn from the experience.
Keywords :
data handling; data mining; Medicare Australia; data mining; fraud detection; non-compliant consumers; spatio-temporal health data; fraud detection; health data; local outlier factor; propositionalisation; sequence prediction; spatio-temporal data;
Conference_Titel :
Data Mining Workshops (ICDMW), 2010 IEEE International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-9244-2
Electronic_ISBN :
978-0-7695-4257-7
DOI :
10.1109/ICDMW.2010.146
