Mining Semantic Web data using FastMap - E...
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This workflow describes how to learn from the Semantic Web's data. The input to the workflow is a feature vector developed from a RDF resource.
The loaded example set is then divided into training and test parts. These sub-example sets are used by the FastMap operators (encapsulate the FastMap data transformation technique), which processes each feature at a time and transform the data into a different space. This transformed data is more meaningful and helps the learner to improve classfica...
Created: 2011-06-25
| Last updated: 2011-06-25