Benchmarking of spatio-temporal databases is an issue of growing importance. In case large real data sets are not available, benchmarking requires the generation of arti
Theodoros Tzouramanis, Michael Vassilakopoulos, Ya...
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
In this study we present a scheme called two-dimensional BubbleUp (2DB) for managing parallel disks in a multimedia server. Its goal is to reduce initial latency for interactive m...
In the paper, we develop a systematic methodology for modeling sampled interconnect frequency response data based on spline interpolation. Through piecewise polynomial interpolatio...
Databases that preserve a historical record of activities and data offer the important benefit of system accountability: past events can be analyzed to detect breaches and maint...
Gerome Miklau, Brian Neil Levine, Patrick Stahlber...