The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Retrieving information from heterogeneous data sources in a flexible manner and within a single (database) framework is still a challenge. In this paper we present several extensi...
Huge energy consumption has become a critical bottleneck for further applying large-scale cluster systems to build new data centers. Among various components of a data center, sto...
Ziliang Zong, Matt Briggs, Nick O'Connor, Xiao Qin
The distributed object group framework (DOGF) enables easier integration of distributed objects to healthcare home applications. This paper describes a healthcare information manag...
—As sensor networks become increasingly popular, heterogeneous sensor networks are being interconnected into federated sensor networks and provide huge volumes of sensor data to ...
Hoyoung Jeung, Sofiane Sarni, Ioannis Paparrizos, ...