sepandhaghighi/Ethereum-Fraud-Detection-Visualization
Ethereum Fraud Detection Visualization
This project helps cryptocurrency fraud analysts and financial investigators understand complex Ethereum transaction data. By taking raw Ethereum transaction datasets, it cleans and processes them to generate visualizations like pie charts, histograms, and correlation diagrams. This allows you to quickly identify suspicious patterns and relationships to detect and prevent fraud.
No commits in the last 6 months.
Use this if you need to visually analyze large volumes of Ethereum transaction data to uncover fraud schemes and suspicious activities.
Not ideal if you need a real-time fraud detection system or advanced interactive graph visualizations beyond static plots.
Stars
16
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 06, 2022
Commits (30d)
0
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