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Research Frontiers in Real-time Streaming Data Processing SAS

Investigation of SAS Event Stream Processing and real-time analytics for continuous data ingestion and immediate decision-making systems.

Adaptive Windowing in Non-Stationary Data Streams
Concept Drift Detection and Model Resilience
Latency-Accuracy Tradeoffs in Stream Processing
Distributed Consensus for Streaming Aggregations
Memory-Constrained Sketching in Unbounded Streams
Anomaly Detection Without Historical Baselines
Temporal Dependency Learning in Event Streams
Backpressure Mechanisms and Flow Control Dynamics
State Management Across Distributed Stream Topologies
Real-Time Causal Inference from Continuous Data

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