Efficient Query Processing in Sparse Database by Avoiding Subspace

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Provided by: International Journal of Modern Engineering Research (IJMER)
Topic: Data Management
Format: PDF
Sparse data are common and available in many real life applications. The sparse data sets are used in e-commerce application. An e-commerce dataset may have thousands of attributes, but most of the values are null and only a few of while apply to a particular queries to a database. In existing RDBMS objects are conventionally stored using horizontal representation, vertical representation and HoVer representation in this paper. According to the dimension correlation of sparse datasets, a novel mechanism has been developed to conduct query for sparse datasets by improving the \"Hover\" technique.
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