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Vol.9, No.3, August 2020. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Data Types Diversity Quantitative Indicators in Relational Databases Physical Models
Alexander Aleksandrovich Rybanov, Makushkina Lidiya Aleksandrovna
© 2020 Alexander Aleksandrovich Rybanov, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 9, Issue 3, Pages 862-867, ISSN 2217-8309, DOI: 10.18421/TEM93-04, August 2020.
Received: 16 November 2019. Revised: 18 June 2020.
Abstract:
The article compares diversity indices applicability used in ecology to assess data types distribution for physical database schemes. The following dominance measures are used to assess the data type's diversity in the physical database scheme: Simpson's diversity index, Shannon diversity index, Simpson's evenness index, Pielu evenness index. A comparative analysis of the data type's diversity indicators for physical database schemes showed that the values of some indices obey certain rules. It is proposed to use diversity indices for physical database schemes' qualitative assessment. The indices considered in this work can also be used to build new models for assessing database complexity.
Keywords –diversity index, database, types of data, physical scheme, quality assessment. |
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