Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
Abstract—It is now widely accepted that in many situations where classifiers are deployed, adversaries deliberately manipulate data in order to reduce the classifier’s accura...
We present the Informed-Source Coding-On-Demand (ISCOD) approach for efficiently supplying non-identical data from a central server to multiple caching clients through a broadcast ...
Large databases with uncertain information are becoming more common in many applications including data integration, location tracking, and Web search. In these applications, ranki...
Increased concern about bioterrorism and emerging diseases is driving the development of systems for early epidemic detection. These systems have different requirements than tradit...
David L. Buckeridge, Martin J. O'Connor, Haobo Xu,...