Kdd Ontology

As data mining applications became more popular, organizations providing KDD (Knowledge Discovery in Database) services have accumulated a growing number of stored documents and processes of their past projects. Moreover, developing KDD projects usually demands several tools, programming languages and methodologies, as well several descriptions of data generated during the development of such projects. In fact, one the major practical problems regarding KDD is how to provide interoperability among different platforms. Another important practical problem with KDD is the lack of platforms capable of supporting the reuse of knowledge acquired from past projects. This work proposes an ontology to the KDD projects and at using these metadata for knowledge reuse and evaluating new data mining projects (meta-data mining).

Example
In Construction...

Data Manipulation

 * Feature extraction

General References
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