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

Survey Paper | Computer Science & Engineering | India | Volume 2 Issue 6, June 2013


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


Edition: Volume 2 Issue 6, June 2013,


Pages: 239 - 242


How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF


How to Cite this Article?

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

Similar Articles with Keyword 'rough set theory'

Downloads: 115

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 10, October 2014

Pages: 764 - 767

Fuzzy and Rough Set Theory Based Gene Selection Method

C. Kalaiselvi | Dr. G. M. Nasira [2]

Share this Article

Downloads: 120

Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 1, January 2015

Pages: 1138 - 1140

Finding Anomaly with Fuzzy Rough C-Means Using Semi-Supervised Approach

Gadekar S. S. | Prof. Shinde S. M.

Share this Article
Top