The goal of the CONTROL project at Berkeley is to develop systems for interactive analysis of large data sets. We focus on systems that provide users with iteratively refining answ...
Joseph M. Hellerstein, Ron Avnur, Vijayshankar Ram...
Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
—Recently, many new applications, such as sensor data monitoring and mobile device tracking, raise up the issue of uncertain data management. Compared to “certain” data, the ...
Peer-to-peer (P2P) computing is gaining more and more significance due to its widespread use currently and potential deployments in future applications. In this paper, we propose ...
XML path queries form the basis of complex filtering of XML data. Most current XML path query processing techniques can be divided in two groups. Navigation-based algorithms compu...
Nicolas Bruno, Luis Gravano, Nick Koudas, Divesh S...