In a data warehousing process, the data preparation phase is crucial. Mastering this phase allows substantial gains in terms of time and performance when performing a multidimensio...
The KSU Willie entry in the Semantic Vision Challenge will use a variety of classifiers, some standard classifiers and some newly developed classifiers, to learn the classificatio...
David Gustafson, Aaron Chavez, Michael Marlen, And...
Machine learning typically involves discovering regularities in a training set, then applying these learned regularities to classify objects in a test set. In this paper we presen...
The objective of the Semantic Web is to make the Web amenable to computer processing, and hence to improve the value that humans can obtain from it. One of the oft-touted user bene...
Les Carr, Timothy Miles-Board, Gary Wills, Arouna ...
In this paper we use a Unified Relationship Matrix (URM) to represent a set of heterogeneous data objects (e.g., web pages, queries) and their interrelationships (e.g., hyperlinks...
Wensi Xi, Edward A. Fox, Weiguo Fan, Benyu Zhang, ...