Plastic Money Deceit Detection Using Machine Learning
S Kalaiyarasi
, I Jayalani Shirin , S Koushika , R Abinaya , M Maheswari
credit card fraud, deceit activities, Random Forest, Adaboost , k-nearest neighbour , logistic regression, xgboost.
Fraudulent credit card transactions must be detected by credit card agencies in order to prevent consumers from being invoiced for items which were not purchased. Such troubles may be tackled with facts of technology and its significance, alongside with gadget mastering, cannot be overstated. The purpose of our system is to exemplify the model of its records set using device studying and detecting fraud transaction. The plastic money deceit detection problem consists of designing over credit card transactions with the records which we come across that might result in false transaction. This version is used to perceive whether an basic monetary exchange is deceit or no longer. Our aim is to properly detect illegal transaction by reducing the wrong deceit classifications. In this method, we've got focused on reading and pre-processing records units as properly as the distribution of inconsistency detection methods in addition to a few device gaining knowledge of algorithms additionally ,and finding out which set of rules gives the exceptional accuracy.
"Plastic Money Deceit Detection Using Machine Learning", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.66-73, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001010.pdf
Volume 11
Issue 2,
February-2024
Pages : 66-73
Paper Reg. ID: TIJER_151159
Published Paper Id: TIJERB001010
Downloads: 000290
Research Area: Science and Technology
Country: TIRUVALLUR, TAMILNADU, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
