Toward the Discovery and Extraction of Money Laundering Evidence from Arbitrary Data Formats using Combinatory Reductions.
Alonza MumfordDuminda WijesekeraPublished in: STIDS (2014)
Keyphrases
- money laundering
- data formats
- anti money laundering
- databases
- data types
- database management systems
- criminal activities
- applying data mining
- knowledge discovery
- financial institutions
- processing units
- financial data
- information extraction
- transaction data
- data mining
- metadata
- data model
- long term
- data management
- data mining techniques
- data analysis
- training data