Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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An evaluation of aggregate functions in relational database system considerable impact on performance in many application areas like geographic information systems and statistical and scientific databases. The problem with existing systems is inefficient execution of aggregate functions with large data volumes and lack of flexibility. It is not possible to extend the systems with new aggregate (average) functions. We show how this could be implemented into a database. We also describe how support for special kinds of aggregate queries and data structures can help in designing future high performance systems.
Mridul Kanti Das. 2011. \u201cA New Approach For Calculating Average Value (including null) Without Aggregate Function\u201d. Global Journal of Research in Engineering - I: Numerical Methods GJRE-I Volume 11 (GJRE Volume 11 Issue I7): .
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Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 109
Country: Bangladesh
Subject: Global Journal of Research in Engineering - I: Numerical Methods
Authors: Mridul Kanti Das, Goutam Biswas, Md. Masudur Rahman, Dr. Md. Nasim Akhtar (PhD/Dr. count: 1)
View Count (all-time): 185
Total Views (Real + Logic): 5585
Total Downloads (simulated): 2704
Publish Date: 2011 12, Wed
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Neural Networks and Rules-based Systems used to Find Rational and
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An evaluation of aggregate functions in relational database system considerable impact on performance in many application areas like geographic information systems and statistical and scientific databases. The problem with existing systems is inefficient execution of aggregate functions with large data volumes and lack of flexibility. It is not possible to extend the systems with new aggregate (average) functions. We show how this could be implemented into a database. We also describe how support for special kinds of aggregate queries and data structures can help in designing future high performance systems.
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