Cone Trees: animated 3D visualizations of hierarchical information
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Tree visualization with tree-maps: 2-d space-filling approach
ACM Transactions on Graphics (TOG)
Graph drawing by force-directed placement
Software—Practice & Experience
A focus+context technique based on hyperbolic geometry for visualizing large hierarchies
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Spotfire: an information exploration environment
ACM SIGMOD Record
Algorithms on Trees and Graphs
Algorithms on Trees and Graphs
A Flexible Approach for Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
Polaris: A System for Query, Analysis, and Visualization of Multidimensional Relational Databases
IEEE Transactions on Visualization and Computer Graphics
Normalized Cuts and Image Segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Visage: a user interface environment for exploring information
INFOVIS '96 Proceedings of the 1996 IEEE Symposium on Information Visualization (INFOVIS '96)
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Visual Unrolling of Network Evolution and the Analysis of Dynamic Discourse
INFOVIS '02 Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)
Automatic generation of interactive overview diagrams for the navigation of large graphs
Automatic generation of interactive overview diagrams for the navigation of large graphs
A History Mechanism for Visual Data Mining
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Topological Fisheye Views for Visualizing Large Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Matrix Zoom: A Visual Interface to Semi-External Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Dynamic Drawing of Clustered Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Interactive Visualization of Small World Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
prefuse: a toolkit for interactive information visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visual Data Mining: An Introduction and Overview
Visual Data Mining
Context Visualization for Visual Data Mining
Visual Data Mining
Assisting Human Cognition in Visual Data Mining
Visual Data Mining
Proceedings of the 40th Conference on Winter Simulation
VDM-RS: A visual data mining system for exploring and classifying remotely sensed images
Computers & Geosciences
Data in social network analysis
ICCMSN'08 Proceedings of the First international conference on Computer-Mediated Social Networking
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Visual data mining has been established to effectively analyze large, complex numerical data sets. Especially, the extraction and visualization of inherent structures such as hierarchies and networks has made a signi ffcant leap forward. However, it is still a challenging task for users to explore explicitly given large structures. In this paper, we approach this task by tightly coupling visualization and graph-theoretical methods. Therefore, we investigate if and how visualization can benefft from common graph-theoretical methods - mainly developed for the investigation of social networks - and vice versa. To accomplish this close integration, we introduce a design of a general framework for visual data mining of complex structures. Especially, this design includes an appropriate processing order of different mining and visualization algorithms and their mining results. Furthermore, we discuss some important implementation details of our framework to ensure fast structure processing. Finally, we examine the applicability of the framework for a large real-world data set.