Current data management solutions are largely optimized for intra-enterprise, client-server applications. They depend on predictability, predefined structure, and universal admini...
Brian F. Cooper, Neal Sample, Michael J. Franklin,...
The demand for real-time database services has been increasing recently. Examples include sensor data fusion, decision support, web information services, and online trading. In th...
Kyoung-Don Kang, Sang Hyuk Son, John A. Stankovic,...
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
Due to the unpredictability of mobile network, it is difficult to meet transaction deadlines in a mobile distributed real-time database system (MDRDTBS). We propose the idea of tra...
Kam-yiu Lam, Tei-Wei Kuo, Wai-Hung Tsang, Gary C. ...
Often, data used in on-line decision making (for example, in determining how to react to changes in process behavior, traffic flow control, etc.) is dynamic in nature and hence ...
Ratul kr. Majumdar, Kannan M. Moudgalya, Krithi Ra...