Abstract--The problem of data stream classification is challenging because of many practical aspects associated with efficient processing and temporal behavior of the stream. Two s...
Mohammad M. Masud, Qing Chen, Latifur Khan, Charu ...
Video streaming demands high data rates and hard delay constraints, and it raises several challenges on today’s packet-based and best-effort internet. In this paper, we propose ...
Video-on-demand (VoD) systems have traditionally been built on the client-server architecture, where a video server stores, retrieves, and transmits video data to video clients fo...
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
Current research on data stream classification mainly focuses on certain data, in which precise and definite value is usually assumed. However, data with uncertainty is quite natu...