A novel model for credit card fraud detection using Artificial Immune Systems

- We added Negative Selection, update and dataset analysis to base AIRS algorithm.
- Antigen affinity is calculated using a novel method.
- The model uses a cloud computing solution in order to perform the training phase parallel.
- We used scoring for flagged records which shows how risky a fraud-flagged record might be.