In this paper we present concepts for integrating glyphs into volumetric data sets. These concepts have been developed with the goal to make glyphbased visualization of multimodal...
Timo Ropinski, Michael Specht, Jennis Meyer-Sprado...
Space constrained optimization problems arise in a multitude of important applications such as data warehouses and pervasive computing. A typical instance of such problems is to s...
Themistoklis Palpanas, Nick Koudas, Alberto O. Men...
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Through ethnographic research, we document the rise of personal social networks in the workplace, which we call intensional networks. Paradoxically, we find that the most fundament...
Bonnie A. Nardi, Steve Whittaker, Heinrich Schwarz
With the page explosion of WWW, how to cover more useful information with limited storage and computation resources becomes more and more important in web IR research. Using web p...