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文章基本信息

  • 标题:Similarity Based Clustering with Indexing for Semi-Structured Document
  • 本地全文:下载
  • 作者:Palanisamy, S. ; Baskaran, K.
  • 期刊名称:Journal of Computer Science
  • 印刷版ISSN:1549-3636
  • 出版年度:2012
  • 卷号:8
  • 期号:4
  • 页码:545-550
  • DOI:10.3844/jcssp.2012.545.550
  • 出版社:Science Publications
  • 摘要:Problem statement: To improve the performance of data retrieval in a homogeneous large XML document. Approach: Clustering of XML elements based on the content with indexing. The element which is used for clustering has been identified from the document and/or XML schema. This element is used as a parameter for clustering. The suitable index is created after clustering. Results: The clustering combined with indexing strategy support the efficient retrieval of XML element from the document. Conclusion: The proposed method is used to improve the efficiency of XML data manipulation and comparatively give the better performance rather than clustering or indexing alone.
  • 关键词:Clustering; indexing; XML; query
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