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 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 ...

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 ...