International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 121

India | Computer Science Engineering | Volume 2 Issue 6, June 2013 | Pages: 239 - 242


Efficient Approach for Query Optimization in Rough Data

Shruthi Hiremath, Pallavi Chandra

Abstract: 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



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Hiremath, S., Chandra, &P. (2013). Efficient Approach for Query Optimization in Rough Data. International Journal of Science and Research (IJSR), 2(6), 239-242. https://www.ijsr.net/getabstract.php?paperid=IJSRON20131141 https://www.doi.org/10.21275/IJSRON20131141

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