It’s hard to measure water from a fire hose while it’s hitting you in the face. In a sense, that’s the challenge of analyzing streaming data, which comes at us in a torrent and never lets up.

Data stream clustering algorithms have emerged as a pivotal tool in the analysis of continuously generated data arising from diverse domains such as the Internet of Things, financial markets and ...

The challenge of monitoring stream chemistry is its complexity ... The team validated the algorithm using on data from two other sites around the country—East River, a large, mountainous ...

The researchers monitored the data stream of the viewers using their own learning algorithm to compare their performance and see which one has better adjusting features. The research showed that ...

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 ...

The year’s biggest computer science stories included a new understanding of large language models, and a breakthrough in being able to compute complex quantum systems. We look back at three of the ...

But when I look at what this streaming platform offers me ... models are increasingly used to process these data. Self-learning algorithms train to recognize patterns in the data so they, too ...