Random sampling is an appealing approach to build synopses of large data streams because random samples can be used for a broad spectrum of analytical tasks. Users are often inter...
In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...
Many emerging applications operate on continuous unbounded data streams and need real-time data services. Providing deadline guarantees for queries over dynamic data streams is a ...
Over a traditional Database Management System (DBMS), the answer to an aggregate query is usually much smaller than the answer to a similar nonaggregate query. Therefore, we call ...
—Motion sensing input devices like Microsoft’s Kinect offer an alternative to traditional computer input devices like keyboards and mouses. Daily new applications using this in...
Steffen Hirte, Andreas Seifert, Stephan Baumann, D...