Logo
  • Home
  • About Us
    • Aim and Scope
    • Research Area
    • Impact Factor
    • Indexing
  • For Authors
    • Authors Guidelines
    • How to publish paper?
    • Download Paper format
    • Submit Manuscript
    • Processing Charges
    • Download Copyrights Form
    • Submit Payment-Copyrights
  • Archives
    • Current Issues
    • Past Issues
    • Conference Issues
    • Special Issues
    • Advance Search
  • IJARIIE Board
    • Join as IJARIIE Board
    • Advisory Board
    • Editorial Board
    • Sr. Reviewer Board
    • Jr. Reviewer Board
  • Proposal
    • Conferece Proposal
    • Special Proposal
    • Faqs
  • Contact Us
  • Payment Detail

Call for Papers:Vol.11 Issue.3

Submission
Last date
28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

  • How to Publish Paper
  • Submit Manuscript
  • Processing Charges
  • Submit Payment

Archives

  • Current Issue
  • Past Issue

IJARIIE Board

  • Member Of Board
  • Join As Board

Downloads

  • Authors Guidelines
  • Manuscript Template
  • Copyrights Form

Android App

Download IJARIIE APP
  • Authors
  • Abstract
  • Citations
  • Downloads
  • Similar-Paper

Authors

Title: :  CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING
PaperId: :  20333
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20333
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
MADHURI SHIVAJI MEHERDHOLE PATIL COLLEGE OF ENGINEERING
Kalidas WableDHOLE PATIL COLLEGE OF ENGINEERING
Priyanka DirangeDHOLE PATIL COLLEGE OF ENGINEERING
Indrajiet KehmnarDHOLE PATIL COLLEGE OF ENGINEERING

Abstract

INFORMATION TECHNOLOGY ENGINEERING
Machine Learning, Transactions, Regression, Metrics, Precision
Credit card fraud is a major problem that affects the financial industry worldwide. Machine learning has become an effective tool for detecting fraudulent transactions in credit card transactions. This paper presents an overview of credit card fraud detection using machine learning techniques. The proposed approach involves collecting transaction data, preprocessing the data, engineering new features, selecting an appropriate machine learning algorithm, training and testing the model, and finally deploying the model for real-time fraud detection. We highlight the importance of data preprocessing and feature engineering in improving the performance of the model. Several machine learning algorithms are discussed, including logistic regression, decision trees, and neural networks. The performance of the model is evaluated using various metrics, such as precision, recall, and F1 score. The proposed approach provides a powerful tool for detecting credit card fraud in real-time, thus reducing financial losses for businesses and consumers alike

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE MADHURI SHIVAJI MEHER, Kalidas Wable, Priyanka Dirange, and Indrajiet Kehmnar. "CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 2286-2290
MLA MADHURI SHIVAJI MEHER, Kalidas Wable, Priyanka Dirange, and Indrajiet Kehmnar. "CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 2286-2290.
APA MADHURI SHIVAJI MEHER, Kalidas Wable, Priyanka Dirange, & Indrajiet Kehmnar. (2023). CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 2286-2290.
Chicago MADHURI SHIVAJI MEHER, Kalidas Wable, Priyanka Dirange, and Indrajiet Kehmnar. "CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 2286-2290.
Oxford MADHURI SHIVAJI MEHER, Kalidas Wable, Priyanka Dirange, and Indrajiet Kehmnar. 'CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 2286-2290. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/CREDIT_CARD_FRAUD_DETECTION_USING_MACHINE_LEARNING_ijariie20333.pdf (Accessed : ).
Harvard MADHURI SHIVAJI MEHER, Kalidas Wable, Priyanka Dirange, and Indrajiet Kehmnar. (2023) 'CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 2286-2290IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/CREDIT_CARD_FRAUD_DETECTION_USING_MACHINE_LEARNING_ijariie20333.pdf (Accessed : )
IEEE MADHURI SHIVAJI MEHER, Kalidas Wable, Priyanka Dirange, and Indrajiet Kehmnar, "CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 2286-2290, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/CREDIT_CARD_FRAUD_DETECTION_USING_MACHINE_LEARNING_ijariie20333.pdf [Accessed : ].
Turabian MADHURI SHIVAJI MEHER, Kalidas Wable, Priyanka Dirange, and Indrajiet Kehmnar. "CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 ().
Vancouver MADHURI SHIVAJI MEHER, Kalidas Wable, Priyanka Dirange, and Indrajiet Kehmnar. CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(3) : 2286-2290. Available from: https://ijariie.com/AdminUploadPdf/CREDIT_CARD_FRAUD_DETECTION_USING_MACHINE_LEARNING_ijariie20333.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTSInformation TechnologyBHUKYA RAJAKUMAR Download
REAL TIME EMERGENCY VEHICLE DETECTION USING MACHINE LEARNINGComputer Science and EngineeringAravinthkumar A Download
COLLEGIUMBOT: AN AI-DRIVEN CHATBOT FOR ENHANCING STUDENT ENGAGEMENT AND CAMPUS LIFE THROUGH VOICE-BASED INTERACTIONInformation TechnologySIVASANKAR CHITTOOR Download
AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKSInformation TechnologyT SUNDARARAJULU Download
BLOOD GROUP DETECTION USING FINGERPRINTInformation TechnologyN ANITHA Download
SOLAR RADIATION PREDICTION USING MACHINE LEARNINGInformation TechnologyM RAM KUMAR Download
DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAININFORMATION TECHNOLOGYT.SUNDARARAJULU. Download
DEEP CONVOLUTIONAL NEURAL NETWORK FOR ROBUST DETECTION OF OBJECT-BASED FORGERIES IN ADVANCED VIDEOINFORMATION TECHNOLOGYD.VISWASAHITYA Download
SMART CAR PRICE PREDICTOR USING MACHINE LEARNINGINFORMATION TECHNOLOGYS.JASMIN Download
SUPERVISED LEARNING MODEL INSIGHTS AND EVALUATIONInformation TechnologyB. RAJA KUMAR Download
Enhancing Forensic Data Protection: A Robust Storage Framework with Verified Access and Intelligent Key-Based EncryptionComputer Science EngineeringN ANITHA Download
PREDICTING NEONATAL CARDIAC ARREST IN THE CICU: A STATISTICAL MACHINE LEARNING APPROACH FOR EARLY INTERVENTIONINFORMATION TECHNOLOGYD Viswasahithya Download
AI DRIVEN CROP DISEASE PREDICTION BTech Information TechnologyRhishub Kamalakar Gawade Download
Real-time driver's drowsiness detection using MlInformation Technology and MLKiran parasram shelke Download
The Role of Information Technology in Improving the Quality of Banking Services at the Al-Jumhouria Bank – Madinah Branch, SabrathaDigital BankingEssam Zaid Shoaib Al-Dabbashi Download
12
For Authors
  • Submit Paper
  • Processing Charges
  • Submit Payment
Archive
  • Current Issue
  • Past Issue
IJARIIE Board
  • Member Of Board
  • Join As Board
Privacy and Policy
Follow us

Contact Info
  • +91-8401209201 (India)
  • +86-15636082010 (China)
  • ijariiejournal@gmail.com
  • M-20/234 Ami Appt,
    Nr.Naranpura Tele-Exch,
    Naranpura,
    Ahemdabad-380063
    Gujarat,India.
Copyright © 2025. IJARIIE. All Rights Reserved.