Intentional Knowledge Mining Using Association Mining Technique in XML Query Answering Scheme

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Provided by: The International Journal Of Engineering And Science (IJES)
Topic: Data Management
Format: PDF
Semistructured document's data retrieval has become a defacto standard for data storing, sharing and exchanging information over heterogeneous platforms. The XML content is growing speedily thus information withdrawal from semistructured documents has become very tedious task, companies or organizations need to make queries on XML databases frequently. As their XML data is huge, it is difficult task to mine intentional data from XML database. It is computationally costly to answer queries without any support. Thus in this paper, the authors propose a technique known as Tree-based Association Rules (TARs) mined rules that extract required information on structure.
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