Databases Reference
In-Depth Information
Figure 13.5
Multidimensional data distribution analysis in StatSoft.
Source: www.statsoft.com
.
data distributions in multidimensional space. Visual display can help give users a
clear impression and overview of the data characteristics in a large data set.
Data mining result visualization
: Visualization of data mining results is the presen-
tation of the results or knowledge obtained from data mining in visual forms. Such
forms may include scatter plots and boxplots (Chapter 2), as well as decision trees,
association rules, clusters, outliers, and generalized rules. For example, scatter plots
are shown in Figure 13.6 from SAS Enterprise Miner. Figure 13.7, from MineSet,
uses a plane associated with a set of pillars to describe a set of association rules mined
from a database. Figure 13.8, also from MineSet, presents a decision tree. Figure 13.9,
from IBM Intelligent Miner, presents a set of clusters and the properties associated
with them.
Data mining process visualization
: This type of visualization presents the various
processes of data mining in visual forms so that users can see how the data are
extracted and from which database or data warehouse they are extracted, as well as
how the selected data are cleaned, integrated, preprocessed, and mined. Moreover, it
may also show which method is selected for data mining, where the results are stored,
and how they may be viewed. Figure 13.10 shows a visual presentation of data mining
processes by the Clementine data mining system.
