Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
Andrew Fast, Lisa Friedland, Marc Maier, Brian Tay...
Even though "providing insight" has been considered one of the main purposes of information visualization (InfoVis), we feel that insight is still a not-well-understood ...
Ji Soo Yi, Youn ah Kang, John T. Stasko, Julie A. ...
Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
— Multihoming is a popular method used by large enterprises and stub ISPs to connect to the Internet to reduce cost and improve performance. Recently researchers have studied the...
Hao Wang, Haiyong Xie 0002, Lili Qiu, Abraham Silb...