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论文类型：期刊论文

发表时间：2011-01-01

发表刊物：Journal of Software

收录刊物：Scopus

卷号：6

期号：12 SPEC. ISSUE

页面范围：2361-2368

ISSN号：1796217X

摘要：An effective XML cluster method called neighbor center clustering algorithm (NCC) is presented in this paper, whose similarity is obtained through both structural and content information contained in XML files. Structural similarity is firstly measured by frequency-path model and its similarity calculation algorithm with position and frequency weight by longest common subsequence is introduced. In order to improve the performance and precision, the frequency-path model is further extended by considering the structure and content information simultaneously. Experiments show that the NCC embed with hybrid similarity calculation method can obtain high purity and F-measure value and is effective and applicable for clustering XML with both homogenous and heterogeneous structures. ? 2011 Academy Publisher.