Singh et al., 2022 - Google Patents
Comparative evaluation of machine learning algorithms for credit card fraud detectionSingh et al., 2022
View PDF- Document ID
- 15034819747693051630
- Author
- Singh K
- Thakur K
- Kapoor D
- Sharma A
- Bajpai S
- Sirawag N
- Mehta R
- Chaudhary C
- Singh U
- Publication year
- Publication venue
- Congress on Intelligent Systems
External Links
Snippet
Banks are the backbone of the economy of any country, and hence, it is essential that they function properly so as to achieve a booming and sustainable economy. The major barrier for banks is the defaults on the credits they give to the customer. As banks profit mostly from …
Classifications
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- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/38—Payment protocols; Details thereof
- G06Q20/40—Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check credit lines or negative lists
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- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/08—Payment architectures
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- G06Q20/108—Remote banking, e.g. home banking
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- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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- G06Q40/025—Credit processing or loan processing, e.g. risk analysis for mortgages
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- G06Q20/00—Payment architectures, schemes or protocols
- G06Q20/04—Payment circuits
- G06Q20/042—Payment circuits characterized in that the payment protocol involves at least one cheque
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