Two central criteria for data quality are consistency and accuracy. Inconsistencies and errors in a database often emerge as violations of integrity constraints. Given a dirty dat...
Scientific workflow systems are increasingly used to automate complex data analyses, largely due to their benefits over traditional approaches for workflow design, optimization, a...
The area of automatic selection of physical database design to optimize the performance of a relational database system based on a workload of SQL queries and updates has gained p...
There has been an information explosion in fields of science such as high energy physics, astronomy, environmental sciences and biology. There is a critical need for automated sys...
Srinath Shankar, Ameet Kini, David J. DeWitt, Jeff...
Data management functionality is not only needed in large-scale server systems, but also in embedded systems. Resource restrictions and heterogeneity of hardware, however, complic...