This paper studies a new query on uncertain data, called k-selection query. Given an uncertain dataset of N objects, where each object is associated with a preference score and a p...
Xingjie Liu, Mao Ye, Jianliang Xu, Yuan Tian, Wang...
Although verification and simulation tools are always improving, the results they provide remain hard to analyze and interpret. On one hand, verification sticks to the functional ...
Steve Casselman, John Schewel, Christophe Beaumont
Recently, almost uncontrolled technological progress allows so called high-throughput data collection for sophisticated and complex experimental biological systems analysis. Espec...
Object identification is a crucial step in most information systems. Nowadays, we have many different ways to identify entities such as surrogates, keys and object identifiers. Ho...
We introduce the new paradigm of Change Mining as data mining over a volatile, evolving world with the objective of understanding change. While there is much work on incremental m...