Skip to main content

Visual Analytics

  • Reference work entry
Encyclopedia of Database Systems

Synonyms

Visual analysis; Visual data analysis; Visual data mining

Definition

Visual analytics is the science of analytical reasoning supported by interactive visual interfaces. Over the last decades, data was produced at an incredible rate. However, the ability to collect and store this data is increasing at a faster rate than the ability to analyze it. While purely automatic or purely visual analysis methods were developed in the last decades, the complex nature of many problems makes it indispensable to include humans at an early stage in the data analysis process. Visual analytics methods allow decision makers to combine their flexibility, creativity, and background knowledge with the enormous storage and processing capacities of today’s computers to gain insight into complex problems. The goal of visual analytics research is thus to turn the information overload into an opportunity: Decision-makers should be enabled to examine this massive, multi-dimensional, multi-source,...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 2,500.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. S.W., Card J.D., and Mackinlay B. (eds.) Shneiderman Readings in Information Visualization: Using Vision to Think. Morgan Kaufmann, San Francisco, CA, USA, 1999.

    Google Scholar 

  2. Chen C. Information Visualization – Beyond the Horizon. Springer, Berlin, 2nd edn., 2004.

    Google Scholar 

  3. Keim D.A. Visual exploration of large data sets. Commun. ACM, 44(8):38–44, 2001.

    Article  Google Scholar 

  4. Keim D.A. and Thomas J. Scope and challenges of visual analytics. Tutorial at IEEE Visualization Conf., 2007.

    Google Scholar 

  5. Spence R. Information Visualization – Design for Interaction. Pearson Education Limited, Harlow, England, 2nd edn., 2006.

    Google Scholar 

  6. Thomas J. and Cook K. Illuminating the path: Research and development agenda for visual analytics. IEEE-Press, Los Alamitos, CA, USA, 2005.

    Google Scholar 

  7. Tukey J.W. Exploratory data analysis. Addison-Wesley, Reading, MA, USA, 1977.

    MATH  Google Scholar 

  8. Ware C. Information Visualization – Perception for Design. Morgan Kaufmann, San Francisco, CA, USA, 1st edn., 2000.

    Google Scholar 

  9. Wong P.C. and Thomas J. Visual Analytics – Guest Editors’ Introduction. IEEE Trans. Comput. Graph. Appl., 24(5):20–21, 2004.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this entry

Cite this entry

Keim, D.A., Mansmann, F., Stoffel, A., Ziegler, H. (2009). Visual Analytics. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_1122

Download citation

Publish with us

Policies and ethics