International Journal of Science and Research (IJSR)
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Survey Paper | Computer Science & Engineering | India | Volume 2 Issue 6, June 2013

Efficient Approach for Query Optimization in Rough Data

Shruthi Hiremath, Pallavi Chandra

In this paper we represent an efficient query optimization technique for the multi-valued rough relational database which follows the indiscernibility relation in its domain. This notion is perceived by using an encoding function to convert a multi-valued attribute to a constant single valued attribute. A simple select-querying technique is provided for selecting the tuples of single-valued attribute from a rough database.We extend the concept of query search to multi-valued attribute..Here we use an encoding function to convert the multi-valued attribute to a single-valued constant attribute to optimize the query search and hence to reduce the response time.

Keywords: rough set theory, rough relational database, indiscernibility relation, encoding function

Edition: Volume 2 Issue 6, June 2013

Pages: 239 - 242

How to Cite this Article?

Shruthi Hiremath, Pallavi Chandra, "Efficient Approach for Query Optimization in Rough Data", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=IJSRON20131141, Volume 2 Issue 6, June 2013, 239 - 242

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