The large amounts of data on the financial market today pose many computational challenges. Currently, companies like Reuters deliver around 50.000 data updates per second of financial stock market data. Such amounts of data can be analyzed by data mining algorithms, but for understanding market mechanisms and in order to evaluate the characteristics of assets, innovative visualization techniques offer many advantages over numeric techniques with regard to knowledge discovery in financial markets as one image can communicate more insight than ten thousand numbers.
The main objective of this project is the development of new concepts and algorithms for pixel-based visualization techniques to overcome the shortcomings of traditional techniques, and which significantly improve the insight into the behaviour of todays financial markets. The work focuses on detailed performance analysis of assets with new focus-and-context techniques, inter-asset comparison of all assets on the market, pattern and trend recognition in different market sectors, portfolio analysis, and also includes the development of scalable techniques for high-resolution financial data analysis on large displays walls (powerwalls).
The following list of publications covers only those, which are or were published during participation at the Graduiertenkolleg / PhD program.
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2008 |
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Keim, D., Mansmann, F., Schneidewind, J., Thomas, J., Ziegler, H., Visual analytics: Scope and challenges, In: Visual Data Mining: Theory, Techniques and Tools for Visual Analytics, LNCS, Springer, 2008. abstract
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2009 |
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Keim, D., Mansmann, F., Oelke, D., Ziegler, H., Visual analytics: Combining automated discovery with interactive visualizations, Discovery Science, pp. 2-14, 2009. abstract
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2008 |
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Keim, D., Mansmann, F., Stoffel, A., Ziegler, H., Visual analytics, Encyclopedia of Database Systems, Springer, 2008.
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2008 |
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Ziegler, H., COPERNICUS: Context-preserving engine for route navigation with interactive user-modifiable scaling, Proceedings EuroVis 2008: Eurographics/IEEE-VGTC Symposium on Visualization, Eindhoven, The Netherlands, May 2008. abstract
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Ziegler, H., Nietzschmann, T., Keim, D., Visual analytics on the financial market: Pixel-based analysis and comparison of long-term investments, Proceedings 12th conference on Information Visualization (IV 2008), IV-VDM Symposium on Visualization and Data Mining, 2008. abstract
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2007 |
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Ziegler, H., Nietzschmann, T., Keim, D., Relevance driven visualization of financial performance measures, Proceedings EEE-VGTC Symposium on Visualization, Norköping, Sweden (EuroVis 2007: Eurographics), May 2007.
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Ziegler, H., Nietzschmann, T., Keim, D., Visual exploration and discovery of atypical behavior in financial time series data using two-dimensional colormaps, Proceedings 11. International Conference on Information Visualization (IV 07), IV-VDM Symposium on Visualization and Data Mining, Zurich, Switzerland, July 2007, pp. 308-315. abstract
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Ziegler, H., Visualization and analysis of large amounts of financial time series data, Proceedings Summer School on Algorithmic Data Analysis (SADA07), 2007, Poster paper .
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2006 |
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Keim, D., Nietzschmann, T., Schelwies, N., Schneidewind, J., Schreck, T., Ziegler, H., A spectral visualization system for analyzing financial time series data, Proceedings EuroVis 2006: Eurographics/IEEE-VGTC Symposium on Visualization, Lisbon, Portugal, May 2006.
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Keim, D., Mansmann, F., Schneidewind, J., Ziegler, H., Challenges in visual data analysis, Proceedings Information Visualization (IV 2006), London, United Kingdom, IEEE Press, July 2006, Invited Paper. abstract
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