Linked open data (LOD), as provided by a quickly growing number of sources constitutes a wealth of easily accessible information. However, this data is not easy to understand. It i...
Commercial relational databases currently store vast amounts of real-world data. The data within these relational repositories are represented by multiple relations, which are int...
The disparity between data collected in rural and urban counties is often detrimental in the appropriate analysis of cancer care statistics. Low counts drastically affect the inci...
Ross Maciejewski, Travis Drake, Stephen Rudolph, A...
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. ...
Background: High-density tiling arrays and new sequencing technologies are generating rapidly increasing volumes of transcriptome and protein-DNA interaction data. Visualization a...
J. Christopher Bare, Tie Koide, David J. Reiss, Da...