This Title All WIREs
How to cite this WIREs title:
WIREs Data Mining Knowl Discov
Impact Factor: 7.250

An overview of interactive visual data mining techniques for knowledge discovery

Full article on Wiley Online Library:   HTML PDF

Can't access this content? Tell your librarian.

In the past decade, the analysis of data has faced the challenge of dealing with very large and complex datasets and the real‐time generation of data. Technologies to store and access these complex and large datasets are in place. However, robust and scalable analysis technologies are needed to extract meaningful information from these datasets. The research field of Information Visualization and Visual Data Analytics addresses this need. Information visualization and data mining are often used complementary to each other. Their common goal is the extraction of meaningful information from complex and possibly large data. However, though data mining focuses on the usage of silicon hardware, visualization techniques also aim to access the powerful image‐processing capabilities of the human brain. This article highlights the research on data visualization and visual analytics techniques. Furthermore, we highlight existing visual analytics techniques, systems, and applications including a perspective on the field from the chemical process industry. This article is categorized under: Application Areas > Data Mining Software Tools Fundamental Concepts of Data and Knowledge > Knowledge Representation Technologies > Visualization
The process of visual analytics according to Ref .
[ Normal View | Magnified View ]
KinFit's polar chart implementation for displaying data with multiple dimensions, typically used for identifying optimal production process states.
[ Normal View | Magnified View ]
Multidimensional representation of five variables using KinFit.
[ Normal View | Magnified View ]
Charts used by Evonik Industries AG to display quality attributes during the production process. The chart on the bottom half of the figure is called a ChemSPFchart and the chart on the top half of the figure is a histogram.
[ Normal View | Magnified View ]
The figures shows a brute force SSH attacks from the Internet to computers located at the University of Konstanz. The figure has been reproduced with accordance to the Creative Commons Attribution‐ShareAlike 3.0 Unported License (http://creativecommons.org/licenses/by‐sa/3.0/deed.en_US).
[ Normal View | Magnified View ]
The textual tree view and magic eye view of the Coordinated Graph Visualization (CGV) system.
[ Normal View | Magnified View ]
The graphical user interface of the Coordinated Graph Visualization (CGV) system.
[ Normal View | Magnified View ]
A typical Eclipse RPC grahpical user interface taken from the KNIME data mining software.
[ Normal View | Magnified View ]
The knowledge discovery from data process augmented with the visual analytics process. The dashed components and lines are the augmented elements from visual analytics.
[ Normal View | Magnified View ]

Browse by Topic

Fundamental Concepts of Data and Knowledge > Knowledge Representation
Application Areas > Data Mining Software Tools
Technologies > Visualization

Access to this WIREs title is by subscription only.

Recommend to Your
Librarian Now!

The latest WIREs articles in your inbox

Sign Up for Article Alerts