Visual Analytics: Scope and Challenges

Dec 16th, 2009 | By | Category: Publications

Summary

In today’s applications data is produced at unprecedented rates. While the capacity to collect and store new data rapidly grows, the ability to analyze these data volumes increases at much lower rates. This gap leads to new challenges in the analysis process, since analysts, decision makers, engineers, or emergency response teams depend on information hidden in the data. The emerging field of visual analytics focuses on handling these massive, heterogenous, and dynamic volumes of information by integrating human judgment by means of visual representations and interaction techniques in the analysis process. Furthermore, it is the combination of related research areas including visualization, data mining, and statistics that turns visual analytics into a promising field of research. This paper aims at providing an overview of visual analytics, its scope and concepts, addresses the most important research challenges and presents use cases from a wide variety of application scenarios.

The Scope of Visual Analytics

Daniel A. Keim and Florian Mansmann and Jörn Schneidewind and Hartmut Ziegler and Jim Thomas, Visual Analytics: Scope and Challenges, 2008, Visual Data Mining: Theory, Techniques and Tools for Visual Analytics, Springer, Lecture Notes In Computer Science (lncs), [download], [bibtex]

@inproceedings{Keim-7,
  author = {Daniel A. Keim and Florian Mansmann and Jörn Schneidewind and Hartmut Ziegler and Jim Thomas},
  title = {Visual Analytics: Scope and Challenges},
  month = {December},
  year = {2008},
  note = {Visual Data Mining: Theory, Techniques and Tools for Visual Analytics, Springer, Lecture Notes In Computer Science (lncs)},
}

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