NDLI: Cost effective genetic optimal database index set for decision support systems with attributes accessing probabilities

Content Provider	IEEE Xplore Digital Library
Author	Raja Kumar Reddy, N. Somayajulu, D.V.L.N.
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Srikalahasteeswara Inst. of Technol., Srikalahasthi, India (Raja Kumar Reddy, N.)
Abstract	Index mechanism speeds up the data retrieval with the values given for the search attribute. In decision support systems, creating useful indexes is one of the most important tasks to achieve good performance. In order to create useful indexes, thorough knowledge and understanding about the uses of the data, the types and frequencies of queries to be performed etc is necessary and important. In this paper, we describe the creation of cost effective genetic optimal database index set for the decision support systems based on the attributes accessing probabilities thru genetic algorithm. It is implemented with C# in .NET by considering microsoft SQL server 2000 as back end database and performed extensive experiments and the results indicate the significant performance improvement with minimizing the cost involved in the query process with the generated optimal database index set which is based on the access requirements.
Sponsorship	Faculty of Eng., Univ. of Melbourne IEEE Madras Section, Chennai
Starting Page	41
Ending Page	45
File Size	424694
Page Count	5
File Format	PDF
ISBN	0780382439
DOI	10.1109/ICISIP.2004.1287621
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-01-04
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Computer science Databases Space technology Cost function Frequency Encoding Indexes Biological cells Genetic algorithms
Content Type	Text
Resource Type	Article

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