Hierarchical parallel coordinates for exploration of large datasets
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
PicSOM—content-based image retrieval with self-organizing maps
Pattern Recognition Letters - Selected papers from the 11th scandinavian conference on image analysis
Self-Organizing Maps
Using Smoothed Data Histograms for Cluster Visualization in Self-Organizing Maps
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Bimodal Visualisation: A Financial Trading Case Study
IV '03 Proceedings of the Seventh International Conference on Information Visualization
Interactive Focus+Context Visualization with Linked 2D/3D Scatterplots
CMV '04 Proceedings of the Second International Conference on Coordinated & Multiple Views in Exploratory Visualization
Visualising changes in fund manager holdings in two and a half-dimensions
Information Visualization
The fish-eye visualization of foreign currency exchange data streams
APVis '05 proceedings of the 2005 Asia-Pacific symposium on Information visualisation - Volume 45
Assumption-free anomaly detection in time series
SSDBM'2005 Proceedings of the 17th international conference on Scientific and statistical database management
Task-at-hand interface for change detection in stock market data
Proceedings of the working conference on Advanced visual interfaces
A decade of progress in indexing and mining large time series databases
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data
IEEE Transactions on Visualization and Computer Graphics
Applying Animation to the Visual Analysis of Financial Time-Dependent Data
IV '07 Proceedings of the 11th International Conference Information Visualization
Similarity Search in Trajectory Databases
TIME '07 Proceedings of the 14th International Symposium on Temporal Representation and Reasoning
Visualizing the History of Living Spaces
IEEE Transactions on Visualization and Computer Graphics
Visual Methods for Analyzing Time-Oriented Data
IEEE Transactions on Visualization and Computer Graphics
A spectral visualization system for analyzing financial time series data
EUROVIS'06 Proceedings of the Eighth Joint Eurographics / IEEE VGTC conference on Visualization
Visually driven analysis of movement data by progressive clustering
Information Visualization
Visual cluster analysis of trajectory data with interactive Kohonen maps
Information Visualization
Visual analytics of time dependent 2D point clouds
Proceedings of the 2009 Computer Graphics International Conference
Sublinear querying of realistic timeseries and its application to human motion
Proceedings of the international conference on Multimedia information retrieval
Data transformations and representations for computation and visualization
Information Visualization
A visual analytics system for financial time-series data
Proceedings of the 3rd International Symposium on Visual Information Communication
A review on time series data mining
Engineering Applications of Artificial Intelligence
Techniques for precision-based visual analysis of projected data
Information Visualization - Special issue on selected papers from visualization and data analysis 2010
Similarity in (spatial, temporal and) spatio-temporal datasets
Proceedings of the 15th International Conference on Extending Database Technology
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Visual Analytics seeks to combine automatic data analysis with visualization and human-computer interaction facilities to solve analysis problems in applications characterized by occurrence of large amounts of complex data. The financial data analysis domain is a promising field for research and application of Visual Analytics technology, as it prototypically involves the analysis of large data volumes in solving complex analysis tasks. We introduce a Visual Analytics system for supporting the analysis of large amounts of financial time-varying indicator data. A system, driven by the idea of extending standard technical chart analysis from one to two-dimensional indicator space, is developed. The system relies on an unsupervised clustering algorithm combined with an appropriately designed movement data visualization technique. Several analytical views on the full market and specific assets are offered for the user to navigate, to explore, and to analyze. The system includes automatic screening of the potentially large visualization space, preselecting possibly interesting candidate data views for presentation to the user. The system is applied to a large data set of time varying 2-D stock market data, demonstrating its effectiveness for visual analysis of financial data. We expect the proposed techniques to be beneficial in other application areas as well.