Mining Semantic Web data using Corresponde...
(1)
This workflow describes how to learn from the Semantic Web's data using a data transformation algorithm 'Correspondence Analysis'.
The input to the workflow is a feature vector developed from a RDF resource. The loaded example set is divided into training and test parts. These sub-example sets are used by the Correspondence Analysis operators (encapsulate the Correspondence Analysis data transformation technique) which processes each feature at a time and transform the data into a different...
Created: 2011-06-25
| Last updated: 2011-06-25