Abstract-- We investigate the problem of clustering on distributed data streams. In particular, we consider the k-median clustering on stream data arriving at distributed sites whi...
Supporting top-k queries over distributed collections of schemaless XML data poses two challenges. While XML supports expressive query languages such as XPath and XQuery, these la...
Process?aware information systems have to be frequently adapted due to business process changes. One important challenge not adequately addressed so far concerns the evolution of ...
Stefanie Rinderle, Andreas Wombacher, Manfred Reic...
Online monitoring of data streams poses a challenge in many data-centric applications, such as telecommunications networks, traffic management, trend-related analysis, webclick st...
Stream-processing systems are designed to support an emerging class of applications that require sophisticated and timely processing of high-volume data streams, often originating...
Alex Rasin, Jeong-Hyon Hwang, Magdalena Balazinska...