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BIG DATA DRIVEN ARTIFICIAL INTELLIGENCE ENABLED INSURANCE FRAUD DETECTION SCHEME FOR CYBERSECURITY
MESFER ALSHARDAN, REEM
(PI)
Dawood Kariri, Elham
(PI)
Islamic Studies
Information Systems
Project
:
Research
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Computer Science
Fraud Detection
100%
Cybersecurity
100%
Artificial Intelligence
100%
Big Data
100%
Learning System
35%
Machine Learning
33%
Big Data Analytics
11%
Deep Learning Method
9%
Cyber Attack
7%
Machine Learning Algorithm
5%
Learning Algorithm
5%
Successful Completion
5%
Computer System
5%
Literature Review
5%
Mathematics
Fraud Detection
100%
Deep Learning Method
29%
Data Analytics
29%
Successful Completion
12%
Supernode
12%
Machine Intelligence
12%
Minimizes
8%
Business Process
8%
Insurance Claim
8%
Neural Network
8%
Cloud Computing
8%
Stock Market
8%
Intelligence System
8%
Control System
8%