Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...
Cardinality estimation during query optimization relies on simplifying assumptions that usually do not hold in practice. To diminish the impact of inaccurate estimates during opti...
This demo presents an extension of a declarative language for specifying data-intensive Web applications. We demonstrate a scenario extracted from a real-life application, the Web...
Marco Brambilla, Stefano Ceri, Sara Comai, Marco D...
We demonstrate an XML full-text search engine that implements the TeXQuery language. TeXQuery is a powerful fulltext search extension to XQuery that provides a rich set of fully c...
We are presenting a framework for continuous querying of time-varying streamed XML data. A continuous stream in our framework consists of a finite XML document followed by a conti...
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Massive-scale self-administered networks like Peer-to-Peer and Sensor Networks have data distributed across thousands of participant hosts. These networks are highly dynamic with ...
Medusa [3, 6] is a distributed stream processing system based on the Aurora single-site stream processing engine [1]. We demonstrate how Medusa handles time-varying load spikes an...
Magdalena Balazinska, Hari Balakrishnan, Michael S...