Credit card fraud detection [electronic resource] : An application of the gene expression messy genetic algorithm
- Published
- Washington, D.C. : United States. Dept. of Energy, 1996.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy. - Physical Description
- 11 pages : digital, PDF file
- Additional Creators
- Los Alamos National Laboratory, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
Access Online
- Restrictions on Access
- Free-to-read Unrestricted online access
- Summary
- 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.
- Report Numbers
- E 1.99:la-ur--96-1020
E 1.99: conf-960830--1
conf-960830--1
la-ur--96-1020 - Subject(s)
- Other Subject(s)
- Note
- Published through SciTech Connect.
05/01/1996.
"la-ur--96-1020"
" conf-960830--1"
"DE96008148"
2. international conference on knowledge discovery and data mining, Portland, OR (United States), 2-4 Aug 1996.
Buescher, K.; Kargupta, H.; Gattiker, J.R. - Funding Information
- W-7405-ENG-36
View MARC record | catkey: 14351307