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Task-at-hand interface for change detection in stock market data
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Proceedings of the working conference on Advanced visual interfaces table of contents
Venezia, Italy
SESSION: Visualization table of contents
Pages: 420 - 427  
Year of Publication: 2006
ISBN:1-59593-353-0
Authors
Carmen Sanz Merino  MicroStrategy Ibrica, Madrid, Spain
Mike Sips  University of Konstanz, Germany
Daniel A. Keim  University of Konstanz, Germany
Christian Panse  FGCZ - UnilETH Zurich, Switzerland
Robert Spence  Imperial College London, UK
Publisher
ACM  New York, NY, USA
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ABSTRACT

Companies trading stocks need to store information on stock prices over specific time intervals, which results in very large databases. Large quantities of numerical data (thousands of records) are virtually impossible to understand quickly and require the use of a visual model, since that is the fastest way for a human brain to absorb those enormous collections of data. However, little work has been done on verifying which visualizations are more suitable to represent these data sets. Such work is of crucial importance, since it enables us to identify those useful visual models and, in addition, opens our minds to new research possibilities. This paper presents an empirical study of different visualizations, that have been employed for stock market data, by comparing the results obtained by all studied techniques in typical exploratory data analysis tasks. This work provides several research contributions to the design of advanced visual data exploration interfaces.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Chernoff, H. The use of faces to represent points in k-dimensional space graphically. Journal Amer. Statistical Association 68 (1973), 361--368.
 
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Collaborative Colleagues:
Carmen Sanz Merino: colleagues
Mike Sips: colleagues
Daniel A. Keim: colleagues
Christian Panse: colleagues
Robert Spence: colleagues