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the time and money in a data warehouse. C-level 1 executives want
to get more return on their investment.
So, how does the data mining process fit into enterprise software
Data mining tools provide a wide range of options for integrating
with enterprise software architectures and processes. First, we take a
look at data mining tools themselves and then how they interact with
data sources.
As illustrated in Figure 3-10, we can view data mining tools as
consisting of four parts: a graphical user interface (GUI) for
interactive data mining, an application programming interface (API)
for building applications, a data mining engine (DME) where the
core processing or data mining algorithm execution occurs, and a
mining object repository (MOR) where persistent mining objects are
stored. Some tools may provide multiple APIs based on different
programming languages (e.g., Java, SQL, C#, C) or may involve Web
services. 2 Some may build their GUIs directly accessing the data
mining engine, as shown in Figure 3-10(a); others have the GUI using
the public API, as shown in Figure 3-10(b). Ideally, a tool should
Desktop GUI
Desktop GUI
Data Mining Engine
Data Mining Engine
Mining Object Repository
Mining Object Repository
Figure 3-10
Data mining tool architectures.
“C-level” refers to executive management (e.g., Chief Executive Officer, Chief
Information Officier).
A detailed discussion of JDM web services and architectural implications is
provided in Chapter 11.
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