Bulk loading refers to the process of creating an index from scratch for a given data set. This problem is well understood for B-trees, but so far, non-traditional index structure...
Even though a large number of I/O-efficient graph algorithms have been developed, a number of fundamental problems still remain open. For example, no space- and I/O-efficient algo...
This article describes a finite-state cascade for the extraction of person names in texts in French. We extract these proper names in order to categorize and to cluster texts with...
We are building a biomedical information resource consisting of digitized x-ray images and associated textual data from national health surveys. This resource, the Web-based Medic...
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...