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 ...

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 ...

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 ...

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

Time has always mattered on the trading floor. A delay of a few seconds could cost millions. Now, with the emergence of generative AI (gen AI), it’s the power of real-time that matters most. Together, ...