Credit card fraud detection: An application of the gene expression messy genetic algorithm
Conference
·
OSTI ID:251412
This paper describes an application of the recently introduced gene expression messy genetic algorithm (GEMGA) (Kargupta, 1996) for detecting fraudulent transactions of credit cards. It also explains the fundamental concepts underlying the GEMGA in the light of the SEARCH (Search Envisioned As Relation and Class Hierarchizing) (Kargupta, 1995) framework.
- Research Organization:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 251412
- Report Number(s):
- LA-UR-96-1020; CONF-960830-1; ON: DE96008148; TRN: AHC29614%%140
- Resource Relation:
- Conference: 2. international conference on knowledge discovery and data mining, Portland, OR (United States), 2-4 Aug 1996; Other Information: PBD: [1996]
- Country of Publication:
- United States
- Language:
- English
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