We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
Networks have remained a challenge for information retrieval and visualization because of the rich set of tasks that users want to accomplish. This paper n abstract Content-Actor ...
: In this paper we propose an application of data mining methods in the prediction of the availability and performance of Internet paths. We deploy a general decision-making method...
We present a mining system that can predict the future health status of the patient using the temporal trajectories of health status of a set of similar patients. The main noveltie...
Massive amounts of useful data are stored and processed in ad hoc formats for which common tools like parsers, printers, query engines and format converters are not readily availa...
Artem Gleyzer, David Walker, Kathleen Fisher, Mary...