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 …

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 …

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 …

Never before in history has data been generated at such high volumes as it is today.
Exploring and analyzing the vast volumes of data is becoming increasingly difficult …

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 …

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 …

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 …

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

DEFINITION Visual analytics is the science of analytical reasoning supported by interactive
visual interfaces according to [6]. Over the last decades data was produced at an incredible …

processes with graphic visualization, penalizes both procedures with each other's
deficiencies and limitations. For example, because an analytical process can't analyze …