Credit Card Fraud Detection-E-commerce
Mansi Jawale
, Chaitali Dalal , Pratiksha Dinde , Vaishnavi Avhad , Vaishali Khandave
Monitoring, Credit Card, Authentication, security
Electronic trade or web based business is a plan of action that lets organizations and people over the web trade anything. As of late, in the age of the Internet and sending to E-business, parts of information are put away and moved starting with one area then onto the next. Information that moved can be presented to risk by fraudsters. There is an enormous expansion in misrepresentation which is prompting the deficiency of a huge number of dollars worldwide consistently. There are different current methods of distinguishing extortion that is consistently proposed and applied to a few business fields. The primary undertaking of Fraud identification is to notice the activities of huge loads of clients to recognize undesirable conduct. To recognize these different sorts, information mining strategies and AI to have been proposed and carried out to decrease down the assaults. A quite some time ago, numerous strategies are used for misrepresentation discovery framework like Support Vector Machine (SVM), K-closest Neighbor (KNN), neural organizations (NN), Fuzzy Logic, Decision Trees, and numerous more. This large number of methods have yielded respectable outcomes yet expecting to further develop the precision even further, by fostering the actual strategies or by utilizing a crossover learning approach for distinguishing cheats.
"Credit Card Fraud Detection-E-commerce", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 5, page no.389 - 392, May-2022, Available :https://ijsdr.org/papers/IJSDR2205074.pdf
Volume 7
Issue 5,
May-2022
Pages : 389 - 392
Paper Reg. ID: IJSDR_200426
Published Paper Id: IJSDR2205074
Downloads: 000347191
Research Area: Engineering
Country: -, -, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
