klevis/frauddetection
Machine learning Fraud Detection with SPARK and OCTAVE
This application helps financial institutions detect fraudulent transactions. It takes transaction data as input and uses machine learning to identify suspicious activities, flagging them for review. Financial risk managers, fraud analysts, and compliance officers would find this tool valuable for enhancing security and reducing losses.
No commits in the last 6 months.
Use this if you need an automated system to analyze large volumes of financial transactions and pinpoint potential fraud.
Not ideal if you are looking for a general-purpose anomaly detection tool outside of financial transaction monitoring.
Stars
19
Forks
16
Language
Java
License
—
Category
Last pushed
Dec 14, 2017
Commits (30d)
0
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