Data stream algorithms provide one-pass, memory-efficient techniques for processing continuous flows of network data. In network systems, these algorithms underpin tasks such as traffic monitoring, ...

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 ...

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 ...

Data runs business. We’ve been told this now immutable truth countless times throughout the early dawn and later progression of the information age. The entire act of so-called digital transformation ...