Java Reference
In-Depth Information
Chapter
16
Vendor Implementations
In general, an implementation must be conservative in its
sending behavior, and liberal in its receiving behavior.
—Jonathan Bruce Postel
Vendor implementations are key to the success of any standard. This
chapter provides an overview of two vendor implementations con-
forming to Java Data Mining (JDM), characterizing their architecture,
capabilities, and extensions; readers are also directed to sources of
more information on trying out the implementations and learning
more about their feature sets. In addition, considerations for those
pursuing a JDM implementation are discussed.
16.1
Oracle Data Mining
Oracle Corporation began offering an integrated in-database data
mining engine (DME) as an option to the
Oracle 9i Database
release in
2001. Oracle continued to extend and enhance its mining function
and algorithm offerings, while more deeply embedding data mining
algorithms in the database kernel code. As a result,
Oracle Data Min-
ing
(ODM) is able to leverage
Oracle Database
-inherent characteristics
such as performance, scalability, and security. ODM is a key compo-
nent of Oracle's in-database advanced analytics platform, which
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