Spatial data mining is a process used to discover interesting but not explicitly available, highly usable patterns embedded in both spatial and nonspatial data, which are possibly ...
Background: Shared-usage high throughput screening (HTS) facilities are becoming more common in academe as large-scale small molecule and genome-scale RNAi screening strategies ar...
Andrew N. Tolopko, John P. Sullivan, Sean D. Erick...
The main barriers to the level of electronic data interchange required to seamlessly integrate services offered by legacy systems in an Internet environment are the need for appli...
G. M. Bryan, Joanne M. Curry, Carolyn McGregor, D....
A sea of undifferentiated information is forming from the body of data that is collected by people and organizations, across government, for different purposes, at different times...
Today’s data integration systems must be flexible enough to support the typical iterative and incremental process of integration, and may need to scale to hundreds of data sour...