—In this paper, we describe a novel approach for applying texture mapping to volumetric data sets. In contrast to previous approaches, the presented technique enables a unified i...
Timo Ropinski, Stefan Diepenbrock, Stefan Bruckner...
—This paper describes a new method to explore and discover within a large data set. We apply techniques from preference elicitation to automatically identify data elements that a...
In this paper we describe the use of collaborative filtering to make predictions about place using data from custom instant messaging status. Previous research has shown accurate ...
With the proliferation of various kinds of sensor networks, we will see large amounts of heterogeneous data. They have different characteristics such as data content, formats, mod...
Eric Bouillet, Mark Feblowitz, Zhen Liu, Anand Ran...
In this paper we: introduce EMADS, the Extendible Multi-Agent Data mining System, to support the dynamic creation of communities of data mining agents; explore the capabilities of ...