The association of timestamps with various data items such as tuples or attribute values is fundamental to the management of time-varying information. Using intervals in timestamp...
Multi-dimensional spatial data are obtained when a number of data acquisition devices are deployed at different locations to measure a certain set of attributes of the study subje...
We introduce a cost model for the M-tree access method [Ciaccia et al., 1997] which provides estimates of CPU (distance computations) and I/O costs for the execution of similarity ...
Sensor networks are an emerging technology that provide new means to monitor and understand various phenomena. Nodes in a sensor network typically have a limited power supply, thu...
In this paper, we motivate four di erent user de ned window query classes and derive a probabilistic model for each of them. For each model, we characterize the e ciency of spatia...
Bernd-Uwe Pagel, Hans-Werner Six, Heinrich Toben, ...