Visual task characterization for automated visual discourse synthesis
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications
Data Mining and Knowledge Discovery
ThemeRiver: Visualizing Thematic Changes in Large Document Collections
IEEE Transactions on Visualization and Computer Graphics
Discovering personal gazetteers: an interactive clustering approach
Proceedings of the 12th annual ACM international workshop on Geographic information systems
Visualising changes in fund manager holdings in two and a half-dimensions
Information Visualization
Guest Editors' Introduction: Discovering the Unexpected
IEEE Computer Graphics and Applications
Visual Methods for Analyzing Time-Oriented Data
IEEE Transactions on Visualization and Computer Graphics
Trajectory-based visual analysis of large financial time series data
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
IV '08 Proceedings of the 2008 12th International Conference Information Visualisation
Visual Analysis of Mutual Fund Performance
IV '09 Proceedings of the 2009 13th International Conference Information Visualisation
A Visualization Approach for Frauds Detection in Financial Market
IV '09 Proceedings of the 2009 13th International Conference Information Visualisation
Activities, ringmaps and geovisualization of large human movement fields
Information Visualization
ActiviTree: Interactive Visual Exploration of Sequences in Event-Based Data Using Graph Similarity
IEEE Transactions on Visualization and Computer Graphics
A Visual Analytics Approach to Understanding Spatiotemporal Hotspots
IEEE Transactions on Visualization and Computer Graphics
Proceedings of the 2010 ACM Symposium on Applied Computing
Visual signatures for financial time series
Proceedings of the 2011 Visual Information Communication - International Symposium
View Points: Using visual languages in management
Journal of Visual Languages and Computing
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Analyzing financial time series data is challenging due to the volatility of stock market. We advocate using visual approaches to market data analysis. We present a visual analytics system that enables individual investors to analyze stock market by giving them a holistic view on the market data. This paper discusses the drawbacks of current visual charts and describes the core visual techniques used in our system.