Trajectory-based visual analysis of large financial time series data

@article{Schreck2007TrajectorybasedVA,
  title={Trajectory-based visual analysis of large financial time series data},
  author={Tobias Schreck and Tatiana Tekusov{\'a} and J{\"o}rn Kohlhammer and Dieter W. Fellner},
  journal={SIGKDD Explorations},
  year={2007},
  volume={9},
  pages={30-37}
}
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… CONTINUE READING
Highly Cited
This paper has 60 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 38 extracted citations

Visual market sector analysis for financial time series data

2010 IEEE Symposium on Visual Analytics Science and Technology • 2010
View 5 Excerpts
Highly Influenced

Compression and shifting to reduce occlusion in multiple short time series

2017 IEEE Pacific Visualization Symposium (PacificVis) • 2017
View 1 Excerpt

A Survey of Software Frameworks for Cluster-Based Large High-Resolution Displays

IEEE Transactions on Visualization and Computer Graphics • 2014
View 3 Excerpts

61 Citations

051015'10'13'16'19
Citations per Year
Semantic Scholar estimates that this publication has 61 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-2 of 2 references

Self-Organizing Maps

View 5 Excerpts
Highly Influenced

A summary on entropy statistics

View 3 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…