The integration of data produced and collected across autonomous, heterogeneous web services is an increasingly important and challenging problem. Due to the lack of global identi...
Luis Gravano, Panagiotis G. Ipeirotis, Nick Koudas...
Selecting promising queries is the key to effective active learning. In this paper, we investigate selection techniques for the task of learning an equivalence relation where the ...
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
This paper proposes and solves a-autonomy and k-stops shortest path problems in large spatial databases. Given a source s and a destination d, an aautonomy query retrieves a sequen...
Evaluating a query can involve manipulation of large volumes of temporary data. When the volume of data becomes too great, activities such as joins and sorting must use disk, and ...