Visual Data-Mining Techniques
DANIEL A. KEIM and MIKE SIPS, University of Konstanz
MIHAEL ANKERST, The Boeing Company
43.1 Introduction
Never before in history has data been generated at such high volumes as it is today. Exploring and analyzing the vast volumes of data has become increasingly difficult. Information visualization and visual data mining can help to deal with the flood of information. The advantage of visual data exploration is that the user is directly involved in the data-mining process. There are a large number of information visualization techniques that were developed in the early 2000s to support the exploration of large datasets. In this chapter, we provide an overview of information visualization and visual ...
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