Effective Credit Card Fraud Detection using Synthetic Minority Oversampling (SMOTE), Convolutional LSTM and Random Forest Technique
Location
Henderson Library Commons (1st FL)
Session Format
Poster Presentation
Your Campus
Statesboro Campus- Henderson Library, April 20th
Co-Presenters and Faculty Mentors or Advisors
Jongyeop Kim - Faculty Mentor
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Presentation Type and Release Option
Presentation (Open Access)
Start Date
4-18-2023 9:00 AM
End Date
4-18-2023 11:00 AM
Recommended Citation
Ijogun, Oluwaseyi, "Effective Credit Card Fraud Detection using Synthetic Minority Oversampling (SMOTE), Convolutional LSTM and Random Forest Technique" (2023). GS4 Georgia Southern Student Scholars Symposium. 8.
https://digitalcommons.georgiasouthern.edu/research_symposium/2023/2023/8
COinS
Apr 18th, 9:00 AM
Apr 18th, 11:00 AM
Effective Credit Card Fraud Detection using Synthetic Minority Oversampling (SMOTE), Convolutional LSTM and Random Forest Technique
Henderson Library Commons (1st FL)
