Temporal data analysis in data warehouses and data streaming systems often uses time decay to reduce the importance of older tuples, without eliminating their influence, on the res...
Graham Cormode, Vladislav Shkapenyuk, Divesh Sriva...
A major problem in detecting events in streams of data is that the data can be imprecise (e.g. RFID data). However, current state-ofthe-art event detection systems such as Cayuga ...
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
This paper discusses why the extensive scientific results on predicting embedded systems temporal behavior never, or very seldom, reaches the industrial community. We also point ou...
Interrupts are important aspects of real-time embedded systems to handle events in time. When there exist nested interrupts in a real-time system, and an urgent interrupt is allow...