Visualization

Authors:
Graham J. Wills
Affiliations:
Member of Technical Staff, Bell Laboratories (Lucent Technologies), Naperville, Illinois
Venue:
Handbook of data mining and knowledge discovery
Year:
2002

Citing 9
Cited 0

Seesoft-A Tool for Visualizing Line Oriented Software Statistics

IEEE Transactions on Software Engineering - Special issue on software measurement principles, techniques, and environments
Algorithms for drawing graphs: an annotated bibliography

Computational Geometry: Theory and Applications
Self-organizing maps

Self-organizing maps
Interactive visualizations for temporal analysis: application to CSCW multimedia data

Intelligent multimedia information retrieval
Dynamic Queries for Visual Information Seeking

IEEE Software
Visualizing Reference Databases

Proceedings of the IEEE Visualization '93 Workshop on Database Issues for Data Visualization
Parallel coordinates: a tool for visualizing multi-dimensional geometry

VIS '90 Proceedings of the 1st conference on Visualization '90
Visualization and analysis of multi-variate data: a technique for all fields

VIS '91 Proceedings of the 2nd conference on Visualization '91
Computer visualization of long genomic sequences

VIS '93 Proceedings of the 4th conference on Visualization '93

Quantified Score

Hi-index	0.00

Visualization

Abstract

This chapter describes visualization methods. It describes their relationship both to scientific visualization and to statistical graphics. The use of visualization for knowledge discovery in databases (KDD) is described with attention to large databases, textual analysis, networks, time-based data, highly multivariate data, and usage by domain experts. Visualization methods are proposed as an aid both in pre- and postmodeling.