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Multidimensional Data Visualization Techniques for Financial Performance Data: A Review

Dorina Marghescu, Multidimensional Data Visualization Techniques for Financial Performance Data: A Review. TUCS Technical Reports 810, Turku Centre for Computer Science, 2007.

Abstract:

In this paper, we review 11 visualization techniques that can be used for visual exploration of multidimensional financial data. We illustrate the use of these techniques in studying the financial performance of companies from the pulp and paper industry. We also illustrate the use of visualization techniques for detecting outliers, and other patterns in financial performance data in the form of clusters, relationships, and trends. We highlight the potential benefits of using multiple visualization techniques to get insight into financial performance data.

Files:

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BibTeX entry:

@TECHREPORT{tMarghescu07a,
  title = {Multidimensional Data Visualization Techniques for Financial Performance Data: A Review},
  author = {Marghescu, Dorina},
  number = {810},
  series = {TUCS Technical Reports},
  publisher = {Turku Centre for Computer Science},
  year = {2007},
  keywords = {multidimensional data visualization techniques; visual data mining; financial performance; financial data visualization; multiple visualization techniques},
  ISBN = {978-952-12-1860-6},
}

Belongs to TUCS Research Unit(s): Data Mining and Knowledge Management Laboratory

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