dc.contributor.author | Sharma, Tannu | |
dc.contributor.author | Singh, Prerna | |
dc.contributor.author | Sharma, Anu | |
dc.date.accessioned | 2024-09-19T10:49:16Z | |
dc.date.available | 2024-09-19T10:49:16Z | |
dc.date.issued | 2024-04 | |
dc.identifier.uri | http://10.10.11.6/handle/1/18214 | |
dc.description | SCHOOL OF COMPUTING SCIENCE AND ENGINEERING
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
GALGOTIAS UNIVERSITY, GREATER NOIDA
INDIA | en_US |
dc.description.abstract | Credit card plays a very important role in today's economy. It becomes an unavoidable part of household,
business and global activities. Although using credit cards provides enormous benefits when used
carefully and responsibly, significant credit and financial damages may be caused by fraudulent
activities. The rapid growth in E-Commerce industry has lead to an exponential increase in the use of
credit cards for online purchases and consequently they has been surge in the fraud related to it .In recent
years, For banks has become very difficult for detecting the fraud in credit card system. Machine learning
plays a vital role for detecting the credit card fraud in the transactions. For predicting these transactions
banks make use of various machine learning methodologies, past data has been collected and new
features are been used for enhancing the predictive power. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Galgotias University | en_US |
dc.subject | CREDIT CARD | en_US |
dc.subject | FRAUD DETECTION. | en_US |
dc.title | DESIGN AND IMPLEMENTATION OF AN APPLICATION FOR CREDIT CARD FRAUD DETECTION | en_US |
dc.type | Technical Report | en_US |