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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Extended VSM for XML Document Classification Using Frequent Subtrees
verfasst von : Jianwu Yang, Songlin Wang
Erschienen in: Focused Retrieval and Evaluation
Verlag: Springer Berlin Heidelberg
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Structured link vector model (SLVM) is a representation proposed for modeling XML documents, which was extended from the conventional vector space model (VSM) by incorporating document structures. In this paper, we describe the classification approach for XML documents based on SLVM in the Document Mining Challenge of INEX 2009, where the closed frequent subtrees as structural units are used for content extraction from the XML document and the Chi-square test is used for feature selection.