Daniel A. Keim potential for exploring large databases. Visual data exploration is especially
useful when little is known about the data and the exploration goals are vague. Since the …

Visual data mining techniques have proven to be of high value in exploratory data analysis,
and they also have a high potential for mining large databases. In this article, we describe …

In numerous application areas fast growing data sets develop with ever higher complexity
and dynamics. A central challenge is to filter the substantial information and to communicate …

Exploratory data analysis is a process of sifting through data in search of interesting
information or patterns. Analysts' current tools for exploring data include database …

Goals of Visualization Techniques u Explorative Analysis• starting point: data without
hypotheses about the data• process: interactive, usually undirected search for structures …

We survey work on the different uses of graphical mapping and interaction techniques for
visual data mining of large data sets represented as table data. Basic terminology related to …

Mainstream data mining techniques significantly limit the role of human reasoning and
insight. Likewise, in data visualization, the role of computational analysis is relatively small …

The growing use of information visualization tools and data mining algorithms stems from
two separate lines of research. Information visualization researchers believe in the …

Publisher Summary This chapter provides an overview of Information Visualization and
visual data mining techniques and illustrates them using a few examples. The application of …

We present a vision of next-generation visual analytics services. We argue that these
services should have three related capabilities: support visual and interactive data …