Workload management for business intelligence (BI) queries poses different challenges than those addressed in the online transaction processing (OLTP) context. The fundamental pro...
Stefan Krompass, Umeshwar Dayal, Harumi A. Kuno, A...
Views over probabilistic data contain correlations between tuples, and the current approach is to capture these correlations using explicit lineage. In this paper we propose an al...
Existing work on similar sequence matching has focused on either whole matching or range subsequence matching. In this paper, we present novel methods for ranked subsequence match...
We present XBenchMatch, a benchmark which uses as input the result of a schema matching algorithm (set of mappings and/or an integrated schema) and generates statistics about the ...
Correctly generating a structured query (e.g., an XQuery or a SQL query) requires the user to have a full understanding of the database schema, which can be a daunting task. Alter...
As computer systems are essential components of many critical commercial services, the need for secure online transactions is now becoming evident. The demand for such application...
Feifei Li, Ke Yi, Marios Hadjieleftheriou, George ...
Recent research on skyline queries has attracted much interest in the database and data mining community. Given a database, an object belongs to the skyline if it cannot be domina...
Cuiping Li, Anthony K. H. Tung, Wen Jin, Martin Es...
In this paper we discuss advances in self-tuning database systems over the past decade, based on our experience in the AutoAdmin project at Microsoft Research. This paper primaril...
This demonstration showcases the STEP system for natural language access to relational databases. In STEP an administrator authors a highly structured semantic grammar through cou...
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...