Enterprises often need to assess and manage the risk arising from uncertainty in their data. Such uncertainty is typically modeled as a probability distribution over the uncertain...
Peter J. Haas, Christopher M. Jermaine, Subi Arumu...
Glyphs are graphical entities that convey one or more data values via attributes such as shape, size, color, and position. They have been widely used in the visualization of data ...
It is a difficult task to design transfer functions for noisy data. In traditional transfer-function spaces, data values of different materials overlap. In this paper we introduce...
Martin Haidacher, Daniel Patel, Stefan Bruckner, A...
Voxelisation is the term given to the process of converting data from one source type into a three dimensional volume of data values. The techniques known collectively as volume v...
Statistical summaries in relational databases mainly focus on the distribution of data values and have been found useful for various applications, such as query evaluation and data...
Abstract. In many applications of data mining a - sometimes considerable - part of the data values is missing. This may occur because the data values were simply never entered into...
Generating test inputs for a path in a function with integer and real parameters is an important but difficult problem. The problem becomes more difficult when pointers are pass...
We reopen the issue of finding an implicit data structure for the dictionary problem. In particular, we examine the problem of maintaining Ò data values in the first Ò locatio...
Gianni Franceschini, Roberto Grossi, J. Ian Munro,...
The relative difference between two data values is of interest in a number of application domains including temporal and spatial applications, schema versioning, data warehousing...
John F. Roddick, Kathleen Hornsby, Denise de Vries
Abstract. We present an approach to support incremental navigation of structured information, where the structure is introduced by the data model and schema (if present) of a data ...