Graph analytics for healthcare fraud risk estimation.
Luther Karl BrantingFlo ReederJeffrey GoldTimothy ChampneyPublished in: ASONAM (2016)
Keyphrases
- health insurance
- big data analytics
- learning analytics
- information systems
- graph model
- big data
- data mining
- graph representation
- risk management
- graph structure
- data analysis
- directed graph
- structured data
- business intelligence
- decision making
- graph matching
- parameter estimation
- data management
- graph theoretic
- health care
- directed acyclic graph
- random walk
- accurate estimation
- case study
- information management
- graph mining
- estimation error
- graph databases
- fraud detection
- anomaly detection
- weighted graph
- information technology
- high risk
- online banking
- connected components