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Title: Credit card fraud detection: An application of the gene expression messy genetic algorithm

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.
Authors:
; ;
Publication Date:
OSTI Identifier:
251412
Report Number(s):
LA-UR--96-1020; CONF-960830--1
ON: DE96008148; TRN: AHC29614%%140
DOE Contract Number:
W-7405-ENG-36
Resource Type:
Conference
Resource Relation:
Conference: 2. international conference on knowledge discovery and data mining, Portland, OR (United States), 2-4 Aug 1996; Other Information: PBD: [1996]
Research Org:
Los Alamos National Lab., NM (United States)
Sponsoring Org:
USDOE, Washington, DC (United States)
Country of Publication:
United States
Language:
English
Subject:
99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; CRIME DETECTION; ALGORITHMS; ARTIFICIAL INTELLIGENCE; OPTIMIZATION; FRAUD; FINANCING; FUNCTIONS