Comprehensive analysis of the socioeconomic conditions of regions with use of the grid-technology

Authors

  • Людмила Володимирівна Зубик National University of Water Management and Nature Resources Use 11 Soborna str., Rivne, Ukraine, 33028, Ukraine https://orcid.org/0000-0002-2087-5379
  • Олена Миколаївна Гладка National University of Water Management and Nature Resources Use 11 Soborna str., Rivne, Ukraine, 33028, Ukraine
  • Иван Миколайович Карпович National University of Water Management and Nature Resources Use 11 Soborna str., Rivne, Ukraine, 33028, Ukraine https://orcid.org/0000-0002-4601-0541
  • Віра Олексіївна Савич National University of Water Management and Nature Resources Use 11 Soborna str., Rivne, Ukraine, 33028, Ukraine https://orcid.org/0000-0002-2860-8996

DOI:

https://doi.org/10.15587/2313-8416.2015.51512

Keywords:

data analysis, ranking, intelligent evaluation, multidimensional scaling, Grid-technology

Abstract

Ranking of the socioeconomic conditions of districts of Rivne region on statistical indicators of economic activity in the first half of 2015 was held based on Data Mining using Grid-technologies. System evaluation using the elements of methods of scaling, factor and cluster analysis was performed. Flexible and scalable module that extends the capabilities of the standard web-services and simplifies the procedures of collection and processing of data was designed

Author Biographies

Людмила Володимирівна Зубик, National University of Water Management and Nature Resources Use 11 Soborna str., Rivne, Ukraine, 33028

Senior Lecturer

Department of Computer Science

Олена Миколаївна Гладка, National University of Water Management and Nature Resources Use 11 Soborna str., Rivne, Ukraine, 33028

Candidate of technical sciences, Senior Lecturer

Department of Computer Science 

Иван Миколайович Карпович, National University of Water Management and Nature Resources Use 11 Soborna str., Rivne, Ukraine, 33028

Candidate of physico-mathematical sciences, associate professor

Department of Computer Science 

Віра Олексіївна Савич, National University of Water Management and Nature Resources Use 11 Soborna str., Rivne, Ukraine, 33028

Candidate of physico-mathematical sciences, associate professor

Department of Computer Science 

References

Targeted Comprehensive Program for Research of NAS of Ukraine “Grid-infrastructure and Grid-technologies for scientific and applied applications” (2013). Resolution of the Presidium of the National Academy of Sciences of Ukraine of 11.12.2013., 164. Available at: http://www1.nas.gov.ua/infrastructures/Legaltexts/nas/2013/Pages/

Zgurovsky, M. Z. (Ed.) (2010). Analiz staloho rozvytku – hlobal'nyy i rehional'nyy konteksty [Analysis of sustainable development – global and regional contexts]. Global'nyj analiz jakosti ta bezpeky zhyttja ljudej. Kyiv: NTUU “KPI”, 252.

Kussul, N. M., Shelestov, A. Y. (2008). Grid-sistems dlja zadach issledovanija Zemli. Arhitektura, modeli i tehnologii [Grid-systems for the tasks of the study of the Earth. Architecture, models and technologies]. Kyiv: Naukova dumka, 452.

Zgurovsky, M. Z., Petrenko, A. I., Kiselev, G. D. (2009). Stvorennya natsional'noyi Grid-infrastruktury dlya zabezpechennya naukovykh doslidzhen' [Creation of National Grid-infrastructure for scientific research]. Information Technologies in Education, 4, 12–17.

Soshnikova, L. A, Tamashevych, V. N., Uebe, H., Schafer, M. (1999). Mnogomernyj statisticheskij analiz v ehkonomike [Multidimensional statistical analysis in the economy]. Moscow: UNITY – DANA, 598.

Backhaus, K., Erichson, B., Plinke, W., Weiber, R. (2006). Multivariate Analysemethoden: Eine anwendungsorientierte Einfiihrung. Springer Berlin, 830.

Ekonomichne i socialne stanovysche Rivnenskoji oblasti za sichenʹ-lypenʹ 2015 roku : statystychnyj bjuletenʹ [The economic and social situation of the Rivne region in January-July 2015 : statistical bulletin] (2015). Department of Statistics in Rivne region. Rivne, 109.

Ayvazyan, S. A., Buchstaber, V. M., Enyukov, I. S., Meshalkyn, L. D. (1989). Prikladnaya statistika. Klassifikaciya i snizhenie razmernosti [Applied Statistics. Classification and dimension reduction]. Moscow: Finance and Statistics, 607.

Dejvyson, M. (1988). Mnohomernoe shkalyrovanye [Multidimensional Scaling]. Мoscow: Finansy i statistika, 254.

Gan, G., Ma, C., Wu, J. (2007). Data Clustering: Theory, Algorithms, and Applications. ASA-SIAM Series on Statistics and Applied Probability, SIAM, Philadelphia, ASA, Alexandria, VA., 489. doi: 10.1137/1.9780898718348

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Published

2015-10-28

Issue

Vol. 10 No. 2 (15) (2015)

Section

Technical Sciences

License

Copyright (c) 2015 Людмила Володимирівна Зубик, Олена Миколаївна Гладка, Иван Миколайович Карпович, Віра Олексіївна Савич

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