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 ...

Data stream clustering algorithms play a pivotal role in the analysis of rapidly accumulating and evolving data sets, particularly as technologies such as the Internet of Things expand and generate ...

Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This problem has been widely studied in the context of graph stream processing.

Instead of channel surfing or browsing through a TV guide, kids today navigate complex streaming platforms and their algorithms to find shows, which is influencing their viewing habits, according to a ...

Streaming platforms promise to learn what viewers love and serve it back to them, but a growing body of peer-reviewed research suggests the same recommendation engines designed to keep audiences ...