University of Konstanz
Graduiertenkolleg / PhD Program
Computer and Information Science

Hartmut Ziegler

Doctoral Student in the PhD program from 01.05.2005 to 31.02.2010.


1. Prof. Dr. Daniel A. Keim

organisational data

Room: C 201A
Tel.: +49 (0)7531 / 88-4550

project description

Visualization and Exploration of Financial Data

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.

Book Chapters

  • Keim, D., Mansmann, F., Stoffel, A., Ziegler, H., Visual analytics, Encyclopedia of Database Systems, pp. 3341-3346, Springer-Verlag, 2009. abstract

Articles in Journals


Conference Papers