The article reveals the issue of structuring the regions of Ukraine by indicators of monetary valuation of agricultural land. On the basis of the data of the State Statistics Service of Ukraine the analysis of the structure of agricultural land was carried out, which made it possible to establish a fraction of the area of individual species of land in total. The focus is on the concentration of significant amounts of land in private ownership, which exacerbates the issue of land valuation from the perspective of possible resource management and efficiency in its use. It has been argued that fragmentation of land is one of the good reasons for the inefficient use and changing purpose of land, lack of financial resources and smallholder coherence. In accordance with the Law of Ukraine "On Land Assessment" and the data of directories of the State Service of Ukraine on Geodesy, Cartography and Cadastre for 2017 - 2019. A comparative analysis of the normative monetary valuation of agricultural land by regions of Ukraine was carried out, which became the information base for their structuring by the method of cluster analysis. It was substantiated that one of the powerful methods of multivariate analysis is the cluster analysis, which is based on a set of selected economic indicators and objects of assessment. Estimates are based on the monetary valuation of agricultural land such as: arable land, perennial plantations, hayfields and pastures. On the basis of mathematical standardization of values of indicators the matrix of imaginary Euclidian distances is calculated, became a basis for formation of 7 clusters, each of which includes a final number of objects-regions distributed on homogeneous signs and approximation on estimations of cost of land areas. The formation of clusters on such characteristics will identify the most similar groups of objects-regions to develop a system of monitoring changes in the cost of land resources with subsequent analysis of fluctuations relative to average levels within specific clusters, and in Ukraine as a whole.

УДК 004.8 06.02.00 Ветеринария и Зоотехния UDC 004.8 Veterinary and Zootechnics Синтез семантических ядер научных специальностей ВАК РФ и автоматическая классификации статей по научным специальностям с применением АСК-анализа и интеллектуальной системы «Эйдос» (на примере Научного журнала КубГАУ и его научных специальностей: механизации, агрономии и ветеринарии) The synthesis of the semantic nuclei of scientific specialties of the higher attestation commission of the russian federation and the automatic classification of articles according to scientific fields with the use of asc-analysis and "eidos" intellectual systems (on the example of scientific journal of kuban state agrarian university and its scientific specialties: mechanization, agronomy and veterinary medicine)

The article covers the methodological issues of mathematical and statistical evaluation of the information technology use. The necessity of using information technologies to ensure control system flexibility has been substantiated. The impact of the level of integration of implemented information technologies on the increase of production management efficiency through data processing models and use of a single information space has been determined. To achieve the appropriate characteristics of stochastic processes of information technology, it is proposed to use methodological approaches to modeling on the basis of mathematical and statistical evaluation with elements of correlation and regression analysis. We have established the features of regression model development on the basis of which the estimation of the modeled process is carried out in the forecasting period. The paper investigates the issue of modeling methodology based on correlation and regression models and special cases in their evaluation. The main stages of model development and the sequence of their implementation are given. The impact on the number of enterprises that use computer technology in their activities, such factors as: Internet connection, the use of social media and the availability of websites has been assessed. Particular attention is paid to the use of social media as one of the key resources in defining the ideology of using information resources. The model parameters were estimated by the least square method. The analysis of the influence of the studied factors has been carried out based on the obtained regression model parameters taking into account their significance on the influence of the process of information technology use. The necessity of theoretical substantiation of interdependent factor effect with the application of variance analysis and mathematical theory of hypotheses has been proved.