Classification of Web documents using a graph model
Classification of Web documents using a graph model
- Neue Suche nach: Schenker, A.
- Neue Suche nach: Last, M.
- Neue Suche nach: Bunke, H.
- Neue Suche nach: Kandel, A.
- Neue Suche nach: Schenker, A.
- Neue Suche nach: Last, M.
- Neue Suche nach: Bunke, H.
- Neue Suche nach: Kandel, A.
In this paper we describe work relating to classification of Web documents using a graph-based model instead of the traditional vector-based model for document representation. We compare the classification accuracy of the vector model approach using the k-nearest neighbor (k-NN) algorithm to a novel approach which allows the use of graphs for document representation in the k-NN algorithm. The proposed method is evaluated on three different Web document collections using the leave-one-out approach for measuring classification accuracy. The results show that the graph-based k-NN approach can outperform traditional vector-based k-NN methods in terms of both accuracy and execution time.
Dokumentinformationen
Classification of Web documents using a graph model
2003-01-01
264185 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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