We study KDD (Knowledge Discovery in Databases) processes on OLAP (multidimensional and multilevel) data from a query point of view. Focusing on association rule mining, we consid...
We consider the problem of efficiently sampling Web search engine query results. In turn, using a small random sample instead of the full set of results leads to efficient approxi...
Aris Anagnostopoulos, Andrei Z. Broder, David Carm...
To query XML data over the Web, query engines need to be able to resolve semantic differences between heterogeneous attributes that are conceptually similar. This demo presents a ...
Nancy Wiegand, Naijun Zhou, Stephen J. Ventura, Is...
We describe set-oriented algorithms for mining association rules. Such algorithms imply performing multiple joins and may appear to be inherently less escient than special-purpose...
In this paper we look at the application of XML data management support in scientific data analysis workflows. We describe a software infrastructure that aims to address issues as...
Shannon Hastings, Matheus Ribeiro, Stephen Langell...