XML Document Probabilistic Clustering Based on Structure and Content
نویسندگان
چکیده
منابع مشابه
Xml Document Probabilistic Clustering Based on Structure and Content
Large volume of information is stored in XML format in the Web, and clustering is a management method for this documents. Most of current methods for clustering XML documents consider only one of these two aspects. In this paper, we propose SCEM (Expectation Maximization Structure and Content) for XML documents which is used to effectively cluster XML documents by combining content and structur...
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With the increasing use of XML in many domains, XML document clustering has been a central research topic in semistructured data management and mining. Due to the semistructured nature of XML data, the clustering problem becomes particularly challenging, mainly because structural similarity measures specifically designed to deal with tree/graph-shaped data can be quite expensive. Specialized cl...
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The ability of providing a “standardized, extensible means of coupling semantic information within documents describing semistructured data” (Chaudhri, Rashid, & Zicari, 2003) has led to a steady growth of XML (extensible markup language) data sources, so that XML is touted as the driving force for representing and exchanging data on the Web. The motivation behind any clustering problem is to f...
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ژورنال
عنوان ژورنال: International Journal of Information Technology, Control and Automation
سال: 2016
ISSN: 1839-6682
DOI: 10.5121/ijitca.2016.6101