Designing a relational model to identify relationships between suspicious customers in anti-money laundering (AML) using social network analysis (SNA).
Abdul Khalique ShaikhMalik Al-ShamliAmril NazirPublished in: J. Big Data (2021)
Keyphrases
- social network analysis
- relational model
- anti money laundering
- money laundering
- criminal activities
- law enforcement
- data model
- relational databases
- social relationships
- social networks
- database technology
- functional dependencies
- network analysis
- incomplete information
- mining and social network analysis
- complex objects
- link prediction
- complex networks
- structural patterns
- conceptual model
- web mining
- spatial databases
- social structure
- database systems
- financial institutions
- databases
- fraud detection
- data sources
- xml schema
- database
- integrity constraints
- query language
- transaction data
- centrality measures
- community discovery
- database management systems
- case study
- metadata
- decision making