Abstract-- We consider a novel problem of top-k query processing under budget constraints. We provide both a framework and a set of algorithms to address this problem. Existing alg...
Michal Shmueli-Scheuer, Chen Li, Yosi Mass, Haggai...
Increasing popularity of XML and P2P networks has generated much interest in distributed processing of XML data. We propose a novel solution organized around a mediator capable of...
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 ...