Detecting non-compliant consumers in spatio-temporal health data: A case study from medicare Australia

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2010, Pages 613-622

  Ng, K S ^a   Shan, Y ^a   Murray, D W ^a   Sutinen, A ^a   Schwarz, B ^a   Jeacocke, D ^b   Farrugia, J ^b  

^a Intelligence Services and Target Identification Portfolio   (Australia)

^b Health Advisory Branch   (Australia)

Author keywords

Fraud detection; Health data; Local outlier factor; Propositionalisation; Sequence prediction; Spatio temporal data

Indexed keywords

FRAUD DETECTION; HEALTH DATA; LOCAL OUTLIER FACTOR; PROPOSITIONALISATION; SEQUENCE PREDICTION; SPATIO-TEMPORAL DATA;

COMPUTER CRIME; CRIME; FEATURE EXTRACTION; HEALTH;

DATA MINING;

EID: 79951733735     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2010.146     Document Type: Conference Paper

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