We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
Background: Biomedical ontologies are being widely used to annotate biological data in a computer-accessible, consistent and well-defined manner. However, due to their size and co...
Catherine Beauheim, Farrell Wymore, Michael Nitzbe...
We identify the security challenges facing a sensor network for wireless health monitoring, and propose an architecture called "SNAP" (Sensor Network for Assessment of P...
Background: Recent advances in Web and information technologies with the increasing decentralization of organizational structures have resulted in massive amounts of information r...
We present a general framework for characterizing the object identity in a single image or a group of images with each image containing a transformed version of the object, with a...