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 ...

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 ...

Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Data runs business. We’ve been told this now immutable ...

New initiative will expand Confluent’s partnerships and product capabilities to help companies build real-time AI innovations with data streams. Confluent, the data streaming pioneer, has announced ...

Water flowing over the brink of the Lower Falls on the Yellowstone River, Yellowstone National Park, Wyoming, September, 2014. Image courtesy Jim Peaco/Yellowstone National Park. (Photo via Smith ...

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 ...

Confluent's latest Flink capabilities attempt to address what Shaun Clowes describes as the fundamental paradox of AI agents - they're intelligent but "dumb as rocks" without real-time, reliable data ...