Performance Enhancement of XML Parsing By Using Artificial Neural Network

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Provided by: International Journal of Engineering Trends and Technology
Topic: Big Data
Format: PDF
XML is used for data representation and exchange. XML data processing becomes more and more important for server workloads like web servers and database servers. One of the most time consuming part is XML document parsing. Parsing is a core operation performed before an XML document can be navigated, queried, or manipulated. Recently, high performance XML parsing has become a topic of considerable interest. A mechanism for efficiently processing XML documents with the help of Artificial Neural Network (ANN) is proposed. The XML document and parsed result of XML document are provided to the ANN for training purpose. Levenberg - Marquardt Algorithm (LMA) is used to train the neurons in the ANN.
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