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An adaptive predictive financial fraud detection approach using deep learning methods on a Big Data platform
Fraud, waste, and abuse in many financial systems are estimated to result in significant losses annually. Predictive analytics offer government and private financial institutions the opportunity to identify, prevent or ...
On Big Data Management in Internet of Things
The Internet of Things (IoT) has generated a large amount of research interest across a wide variety of technical areas. These include the physical devices themselves, communications among them, and relationships between ...
A Data Driven Anomaly based behavior detection method for Advanced Persistent Threats (APT)
Advanced Persistent Threats (APTs), represent sophisticated and enduring network intrusion campaigns targeting sensitive information from targeted organizations and operating over a long period. These types of threats are ...