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On Computationally-Enhanced Visual Analysis of Heterogeneous Data and Its Application in Biomedical Informatics

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Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8401))

Abstract

With the advance of new data acquisition and generation technologies, the biomedical domain is becoming increasingly data-driven. Thus, understanding the information in large and complex data sets has been in the focus of several research fields such as statistics, data mining, machine learning, and visualization. While the first three fields predominantly rely on computational power, visualization relies mainly on human perceptual and cognitive capabilities for extracting information. Data visualization, similar to Human–Computer Interaction, attempts an appropriate interaction between human and data to interactively exploit data sets. Specifically within the analysis of complex data sets, visualization researchers have integrated computational methods to enhance the interactive processes. In this state-of-the-art report, we investigate how such an integration is carried out. We study the related literature with respect to the underlying analytical tasks and methods of integration. In addition, we focus on how such methods are applied to the biomedical domain and present a concise overview within our taxonomy. Finally, we discuss some open problems and future challenges.

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Authors and Affiliations

  1. giCentre, Department of Computer Science, City University, London, UK

    Cagatay Turkay

  2. Research Unit HCI, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Graz, Austria

    Fleur Jeanquartier & Andreas Holzinger

  3. Visualization Group, Department of Informatics, University of Bergen, Norway

    Helwig Hauser

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  1. Cagatay Turkay
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  2. Fleur Jeanquartier
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  3. Andreas Holzinger
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  4. Helwig Hauser
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  1. Research Unit Human-Computer Interaction, Austrian IBM Watson Think Gruop, Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Auenbruggerplatz 2/V, 8036, Graz, Austria

    Andreas Holzinger

  2. IBM Life Sciences Discovery Centre, TECHNA for the Advancement of Technology for Health, Princess Margaret Cancer Centre, University Health Network, TMDT Room 11-314, 101 College Street, M5G 1L7, Toronto, ON, Canada

    Igor Jurisica

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Turkay, C., Jeanquartier, F., Holzinger, A., Hauser, H. (2014). On Computationally-Enhanced Visual Analysis of Heterogeneous Data and Its Application in Biomedical Informatics. In: Holzinger, A., Jurisica, I. (eds) Interactive Knowledge Discovery and Data Mining in Biomedical Informatics. Lecture Notes in Computer Science, vol 8401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43968-5_7

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  • DOI: https://doi.org/10.1007/978-3-662-43968-5_7

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