Nature

Data Stream Clustering Algorithms

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 ...
Nature

Data Stream Algorithms and Network Traffic Analysis

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 ...
EurekAlert!

Streaming algorithms for triangle counting: adversarial robustness and the weighted case

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

Deterministic streaming algorithms for non-monotone submodular maximization

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

Confluent: Reusable Data Streams Are Rising C-Level IT Agendas

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 ...
Forbes

Why Modern Business Runs On Data Streaming

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 ...
Diginomica

Confluent - 'AI agents are dumb as rocks' without real-time data streaming

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 ...