Investigation of Mining Association Rules on XML Document
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Abstract
XML is globally accepted format for sending the data on internet and between different applications which are running on different platforms and architectures. Due to this, the huge amount of data on the internet is in XML. Thus researchers are attracted toward XML to identify interesting findings and patterns from these documents. Many data mining algorithms have been applied to XML including clustering, classification and association rules. In this paper association, rule mining on XML document is studied. This can be used to identify what work is done in the stated field and how we can extend it further in future.
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