There is an apparent need for specifying the integration of multiple knowledge sources during the design of Web Information Systems (WIS) where the actual data is often retrieved f...
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
Ranking queries are essential tools to process large amounts of probabilistic data that encode exponentially many possible deterministic instances. In many applications where unce...
Background: Integrating data from multiple global assays and curated databases is essential to understand the spatiotemporal interactions within cells. Different experiments measu...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
In this paper we are concerned with disseminating high-volume data streams to many simultaneous context-aware applications over a low-bandwidth wireless mesh network. For bandwidt...