Large-scale distributed data management with P2P systems requires the existence of similarity operators for queries as we cannot assume that all users will agree on exactly the sa...
straction for Information Management Michael Franklin University of California, Berkeley Alon Halevy Google Inc. and U. Washington David Maier Portland State University The develo...
This tutorial presents the definition, the models and the techniques of location privacy from the data privacy perspective. By reviewing and revising the state of art research in ...
For a large number of data management problems, it would be very useful to be able to obtain a few samples from a data set, and to use the samples to guess the largest (or smalles...
: The Internet has recovered from the dot-com crash of the early 2000’s and now features an abundance of new, innovative technologies and services. We are also witnessing the eme...
In parallel computing environments such as HPC clusters and the Grid, data-intensive applications involve large overhead costs due to a concentration of access to the files on co...
Abstract: In the last decade, automotive systems changed from traditional mechanical or mechatronical systems towards software intensive systems, because more and more functionalit...
Sandro Schulze, Mario Pukall, Gunter Saake, Tobias...
The deployment of sensor networks is both widespread and varied with more niche applications based on these networks. In the case study provided in this work, the network is provid...
Mark Roantree, Michael Whelan, Jie Shi, Niall Moyn...