Abstract:XML has become a defacto standard for storing, sharing and exchanging information across heterogeneous platforms. The XML content is growing day by day in rapid pace. Enterprises need to make queries on XML databases frequently. As huge XML data is available, it is challenging task to extract required data from XML database. It is computationally expensive to answer queries without any support. Towards this, in this paper we present a technique known as Tree-based Association Rules (TARs) mined rules that prov… Show more
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