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...
Querying XML data is a well-explored topic with powerful databasestyle query languages such as XPath and XQuery set to become W3C standards. An equally compelling paradigm for que...
Sihem Amer-Yahia, Laks V. S. Lakshmanan, Shashank ...
StreaMon is the adaptive query processing engine of the STREAM prototype Data Stream Management System (DSMS) [4]. A fundamental challenge in many DSMS applications (e.g., network...
Sovereign information sharing allows autonomous entities to compute queries across their databases in such a way that nothing apart from the result is revealed. We describe an imp...
Rakesh Agrawal, Dmitri Asonov, Ramakrishnan Srikan...
In addition to indexes and materialized views, horizontal and vertical partitioning are important aspects of physical design in a relational database system that significantly imp...