This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...
We describe an application of AI search and information visualization techniques to the problem of school redistricting, in which students are assigned to home schools within a co...
Marie desJardins, Blazej Bulka, Ryan Carr, Andrew ...
Many biological information systems rely on relational database management systems (RDBMS) to manage high-throughput biological data. While keeping these data well archived, organ...
Background: Microarray technology is a high-throughput method for measuring the expression levels of thousand of genes simultaneously. The observed intensities combine a non-speci...
The focus of this chapter is to review what is known about free and open source software development (FOSSD) work practices, development processes, project and community dynamics,...