BAROQUE: a browser for relational databases
ACM Transactions on Information Systems (TOIS)
Visualizing n-dimensional virtual worlds with n-vision
I3D '90 Proceedings of the 1990 symposium on Interactive 3D graphics
The buddy tree: an efficient and robust access method for spatial data base
Proceedings of the sixteenth international conference on Very large databases
The R*-tree: an efficient and robust access method for points and rectangles
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
FLEX: A Tolerant and Cooperative User Interface to Databases
IEEE Transactions on Knowledge and Data Engineering
Generalization and a Framework for Query Modification
Proceedings of the Sixth International Conference on Data Engineering
Knowledge Mining by Imprecise Querying: A Classification-Based Approach
Proceedings of the Eighth International Conference on Data Engineering
Exploring N-dimensional databases
VIS '90 Proceedings of the 1st conference on Visualization '90
Shape coding of multidimensional data on a microcomputer display
VIS '90 Proceedings of the 1st conference on Visualization '90
Visualizing a scalar field on an N-dimensional lattice
VIS '90 Proceedings of the 1st conference on Visualization '90
Parallel coordinates: a tool for visualizing multi-dimensional geometry
VIS '90 Proceedings of the 1st conference on Visualization '90
Multiresolution multidimensional wavelet brushing
Proceedings of the 7th conference on Visualization '96
Multivariate visualization using metric scaling
VIS '97 Proceedings of the 8th conference on Visualization '97
Scable and interactive visual analysis of financal wire transactions for fraud detection
Information Visualization - Special issue on visual analytics science and technology
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In this paper, we describe a database query system that provides visual relevance feedback in querying large databases. The goal of our system is to support the query specification process by using each pixel of the display to represent one data item of the database. By arranging and coloring the pixels according to their relevance for the query, the user gets a visual impression of the resulting data set. Using sliders for each condition of the query, the user may change the query dynamically and receives immediate feedback by the visual representation of the resulting data set. By using multiple windows for different parts of a complex query, the user gets visual feedback for each part of the query and, therefore, will easier understand the overall result. The system may be used to query any database that contains tens of thousands to millions of data items, but it is especially helpful to explore large data sets with an unknown distribution of values and to find the interesting hot spots in huge amounts of data. The direct feedback allows to visually display the influence of incremental query refinements and, therefore, allows a better, easier and faster query specification.