Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
Data mining is increasingly performed by people who are not computer scientists or professional programmers. It is often done as an iterative process involving multiple ad-hoc tas...
In this paper, we take the idea of application-level processing on disks to one level further, and focus on an architecture, called Cluster of Active Disks (CAD), where the storag...
Abstract A knowledge-guided approach to automatic classification of Coastal Zone Color images of the West Florida Shelf is described. The approach is used to identify red tides on ...
Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof...
— Interval training consists of interl intensity exercises with rest periods. This training well known exercise protocol which helps stre improve one’s cardiovascular fitness. ...
Myung-kyung Suh, Mahsan Rofouei, Ani Nahapetian, W...