Computational finance leverages computer technologies to build models from large amounts of data to extract insight. In today's networked world, the amount of data available t...
Badrish Chandramouli, Mohamed H. Ali, Jonathan Gol...
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Data stream management systems usually have to process many long-running queries that are active at the same time. Multiple queries can be evaluated more efficiently together tha...
Mingsheng Hong, Mirek Riedewald, Christoph Koch, J...
The rate-distortion optimal mode decision as well as motion estimation adopted in H.264 brings a big challenge to realtime encoding and transcoding duo to the high computation com...
Yi Wang, Xiaoyan Sun, Feng Wu, Shipeng Li, Houqian...
Data mining has recently attracted attention as a set of efficient techniques that can discover patterns from huge data. More recent advancements in collecting massive evolving da...