Data Driven Time Synchronization (DDTS) provides synchronization across sensors by using underlying characteristics of data collected by an embedded sensing system. We apply the c...
Martin Lukac, Paul Davis, Robert Clayton, Deborah ...
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
Large-scale distributed computing systems such as grids are serving a growing number of scientists. These environments bring about not only the advantages of an economy of scale, ...
Omer Ozan Sonmez, Nezih Yigitbasi, Alexandru Iosup...