As the amount of available data continues to increase, more and more effective means for discovering important patterns and relationships within that data are required. Although t...
Radio Frequency IDentification (RFID) deployments are becoming increasingly popular in both industrial and consumer-oriented settings. To effectively exploit and operate such depl...
Evan Welbourne, Karl Koscher, Emad Soroush, Magdal...
Data cube pre-computation is an important concept for supporting OLAP(Online Analytical Processing) and has been studied extensively. It is often not feasible to compute a complet...
Cuiping Li, Gao Cong, Anthony K. H. Tung, Shan Wan...
Traditional content based publish/subscribe (pub/sub) systems allow users to express stateless subscriptions evaluated on individual events. However, many applications such as moni...
Alan J. Demers, Johannes Gehrke, Mingsheng Hong, M...
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...