Selection and Maintenance of Materialized View using Genetic Algorithm
Main Article Content
Abstract
Data warehouse is a repository of large amount of data collected from multiple heterogeneous and distributed data sources. Quick response time and accuracy are the key points for success of any database. Performance of query can be improved by different approaches like query optimization, use of proper data structure etc. But leaving all these alternatives we are planning to use materialized view approach
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
IJCERT Policy:
The published work presented in this paper is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This means that the content of this paper can be shared, copied, and redistributed in any medium or format, as long as the original author is properly attributed. Additionally, any derivative works based on this paper must also be licensed under the same terms. This licensing agreement allows for broad dissemination and use of the work while maintaining the author's rights and recognition.
By submitting this paper to IJCERT, the author(s) agree to these licensing terms and confirm that the work is original and does not infringe on any third-party copyright or intellectual property rights.
References
Dr.T.Nalini, Dr.A.Kumaravel , Dr.K.Rangarajan,”A Novel Algorithm with IM-LSI Index For Incremental Maintenance of Materialized View” JCS&T Vol. 12 No. 1 April 2012
B.Ashadevi, R.Balasubramanian,” Cost Effective Approach for Materialized Views Selection in Data Warehousing Environment”, IJCSNS International Journal of Computer Science and Network Security, VOL.8 No.10, October 2008
Gupta, H. & Mumick, I., Selection of Views to Materialize in a Data Warehouse. IEEE Transactions on Knowledge and Data Engineering, 17(1), 24-43, 2005.
Yang, J., Karlapalem. K., and Li. Q. (1997). A framework for designing materialized views in a data warehousing environment. Proceedings of the Seventieth IEEE International Conference on Distributed Computing systems, USA, pp:458
V.Harinarayan, A. Rajaraman, and J. Ullman.“Implementing data cubes efficiently”. Proceedings of ACM SIGMOD 1996 International Conference on Management of Data, Montreal, Canada, pages 205--216, 1996.
A. Shukla, P. Deshpande, and J. F. Naughton, “Materialized view selection for the multidimensional datasets,” in Proc. 24th Int. Conf. Very Large Data Bases, 1998, pp. 488–499.
Y.D. Choudhari and Dr. S. K. Shrivastava, “Cluster Based Approach for Selection of Materialized Views”, International Journal of Advanced Research in Computer Science and Software Engineering ,Volume 2, Issue 7, July 2012