Fraud Detection

see also:

Life Sciences & Health Care

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Demos

Fraud Prevention: Healthcare

Claims Fraud
Risk Scoring
Opioid Segmentation
Fraud Intervention

Fraud: Detection & Avoidance of Opioid Fraud

Fraud Segmentation
Care Plan Flagging
Relationship Graphing
Geographic & Time Series

Fraud: Detection & Avoidance in Banking

Transaction Segmentation
Clustering Algorithms
Transaction Time Series
Fraud Intervention

Multitouch: Nuclear Power Plant

Bi-temporal User Interface
Time Series Data
High Performance Computing
Real Time Data interfacing

Online Seminars

Decreasing Risk and Enabling Real-Time Decision Making in Alternative Investing

Fraud Prevention in Financial Services Using Google Cloud Bigtable & Janusgraph

Fraud Detection and Optimization using Graph & ML

Lock Down Funding for Intelligent, Graph-Enhanced Fraud Solutions

Thwart Fraud Using Graph & AI

Graph & Machine Learning for Fraud Detection

DataStax Edition: Using Graph Technology to Detect & Prevent Fraud

Use Real-time Graph Technology to Detect & Prevent Fraud

Visualizations

Related Blogs

Opioid Fraud Detection Using Deep Embedding

Graham Ganssle, Ph.D., P.G.

One of Expero’s fraud detection techniques applied to the false prescription of opioids in clinical settings.

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Fraud Detection Using Deep Learning

Graham Ganssle, Ph.D., P.G.

How to detect both credit card fraud and money laundering using graph and machine learning.

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To Catch a Thief… You Need Entity Resolution

Graham Ganssle, Ph.D., P.G.

FBI’s use of machine learning based entity resolution to catch criminals and fraudulent activity.

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