Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...

Stream processing systems are pivotal to modern data-driven environments, enabling the continual ingestion, processing and analysis of unbounded data streams across distributed computing resources.

Data stream algorithms have become indispensable in handling the increasing volumes of network data generated in today’s digital environment. These algorithms skilfully process continuous streams of ...

Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

We live in a world in motion. Stream processing allows us to record events in the real world so that we can take action or make predictions that will drive better business outcomes. The real world is ...