Database Reference
In-Depth Information
4 Case-Based Data Mining Platform
4.1 Storage Bases and Functional Modules
After defining data mining case, we would like to modify the extended data mining
model, which has been shown in Figure 1, to draw the architecture of this case-based
data mining platform, as shown in Figure 3. Compared with the extended data mining
model, the task part and processing flow part have been obliterated and they have
been enclosed into data mining case, while data mining case is represented with
DMCRL and stored in DMCRL repository. At the same time, the process builder has
also changed as a case builder.
Data
Connector
Data Base
Case Builder
Operator
Adapter
Operator Base
Model
Translator
Model
Base
Case
Retriever
DMCRL
Repository
Fig. 3. Architecture of Knowledge Based Data Mining Platform
In this platform, there are four storage bases and five functional modules. The four
storage bases are data base, operator base, model base, and DMCRL repository.
Among them, the data base, the operator base, and the model base are respectively
used to store the data, the operator, and the model. Even though the descriptive parts
of the data, the operator, and the model have been encoded in DMCRL, their physical
parts are still stored in these storage bases. The DMCRL repository is used to store
the data mining cases, which have been represented with DMCRL. The DMCRL
repository is also the knowledge base to this platform, because the reusable
knowledge of data mining process has been encoded in data mining case, represented
with DMCRL, and stored in DMCRL repository.
The five functional modules are case builder, case retriever, data connector,
operator adaptor, and model translator. Among them, the case builder is the central
functional module. It is used to conduct the data mining process with the supports of
other functional modules. The case retriever is used to retrieve the similar case(s)
from the DMCRL repository after setting the data mining task. The data connector is
 
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