Abstract. Self-Organizing Maps capable of encoding structured information will be used for the clustering of XML documents. Documents formatted in XML are.
Self-Organizing Maps capable of encoding structured information will be used for the clustering of XML documents. Documents formatted in XML are ...
Self-Organizing Maps capable of encoding structured information will be used for the clustering of XML documents. Documents formatted in XML are ...
The first model is the classical SOM model, and it requires the XML documents to be represented by real-valued vectors, obtained using a "bag of words" (or ...
The first model is the classical SOM model, and it requires the XML documents to be represented by real-valued vectors, obtained using a "bag of words" (or ...
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Sep 22, 2006 · XML documents clustering by structures with. XCLS. In INEX 2005 Workshop on Mining XML documents, 2005. [17] A.-M. Vercoustre, M. Fegas, S ...
Clustering of XML documents is an important data mining method, the aim of which is the grouping of similar XML documents. The issue of clustering XML ...
First, we used SOM (Self-Organizing Map) with the Jaccard coefficient to cluster XML documents. Then, an efficient sequential mining method called GST was ...
Graph Self-Organizing Maps (GraphSOMs) are a new concept in the processing of structured objects using machine learning methods.
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A novel approach that first determines the structural similarity in the form of frequent subtree and then uses these frequent subtrees to represent the ...