Towards Integrating Decision Tree with Xml Technologies
نویسندگان
چکیده
The paper proposes a method for efficiently store collections of multi-purpose decision trees within a native distributed XML database. The predictive information for building the XML decision trees is gathered through Web mining techniques and methodologies. In order to share data from heterogeneous sources, the model employs semantic Web languages to describe and represent data sources. The use of a native XML database system provides robust storage and manipulation capabilities of XML decision trees according to a logical model mapping. The classification of real data can be obtained by issuing queries over XML decision trees, using specific XML-based query processing capabilities.
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