Name
Popova Elena Vitalevna
Scholastic degree
•
•
Academic rank
professor
Honorary rank
—
Organization, job position
Kuban State Agrarian University
Web site url
Articles count: 17
The necessity to divide tourism to different parts has been stated in the article; we have also examined lots of tourism classifications and proposed the author’s segmentation of tourism according to nowadays tourism market condition
In present article we consider one of the key problems of short time series in modern scientific prognostification. In scientific papers as a rule the problem of short time series is considered in connection with a problem of small selections. But there are some problems still unsettled what value of selection should be taken as a small one and which time series are short and very short. In spite of the fact that there are exist different opinions on the problem of small selection definition and as a result the definitions of short time series, time series of tax deductions analysis of which is given in the present paper one can qualify as very short ones. The authors are considering tax deductions, the length of which doesn’t exceed twelve meanings. It’s clear that building of the prognostification model on a base of given statistics is impossible. In the present paper the authors offer to carry out analysis of very short time series on the base of graphs and matrixes of similarity. In the base of the method proposed there is a visual method and information base are very short time series of tax deduction and time series of fiscal economic indices, forming taxation base. The given approach should help the officers of tax bodies to fulfill the testing analysis the purpose of which is to select tax-payers for checking up
In the article the forecasting model which is based on the theory of cellular automatic machines and mathematical apparatus of indistinct sets is presented. Its work on the real data of time number productivities of sugar beet in Mostovskoy area of Krasnodar territory is shown
The article discusses the impact of seasonal and event-component time series to assess the predictive performance of the tourist flow in Dombay village in the Karachay-Cherkessia Republic
The control system of relationship between enterprises
and customers (CRM) is one of the important components
of an automated enterprise management system.
For construction organizations there is a need in CRM
architecture, providing linking of basic system objects
(documents, artists, clients, events) to the company's
projects. The most important trend in the development
of such systems is the use of cloud technologies. Using
the hybrid cloud technology provides a flexible and
controlled access to resources and high availability.
Internal accounting systems are implemented in the
private sector of a hybrid cloud, CRM and web interfaces
are placed in the public section. The implementation
of the synchronization data module in the public
part of a hybrid cloud over HTTPS ensures the security
and confidentiality of the transmission
We have presented a technique of evaluation of in-vestment appeal of innovative projects in grain pro-duction in a way of innovative development of the meso-level, on the basis of the calculation of the inte-gral and the reference levels, and the assessment of innovation and investment projects, using a multicrite-rion approach
In the article we present the following terms: tourism, tourist destination, tourist flows. The article also analyses the prevailing approaches to how to learn and organize the industry of tourism and recreation, as soon as there are some problems of scientific support for the tourism sector
Tools and mathematical methods offered for usage represent essentially new base for forecasting of discrete evolutionary processes. Authors represent complete system of models and methods of temporary ranks’ with memory forecasting
PREDICTION OF A FINANCIAL MARKET EVOLUTION ON THE BASE OF SOFTWARE TOOLS FOR LINEAR CELLULAR AUTOMAT
The work used methods of system analysis, monographic, structural and logical, economic-statistical, mathematical continuous and discrete, settlement and constructive methods as well as software tools of linear cellular automata. Usage of each method was based on their functionality, thus ensuring the accuracy of the findings and scientific positions. In this article we attempt to predict the dynamic behavior of the financial market elements, to use on the basis of a linear cellular automaton computer tools and methods of nonlinear science for adequate numerical reflection measure various risks, primarily financial and economic risks, as well as to show the power of computer graphics, computer mathematics system linear cellular automata, to emphasize an important philosophical role of visualization. The authors of the work programmed linear cellular automaton based on Python 2.7 software platform in the form of application. The program validates the predictive model on the adequacy of the selected coloring, is forecast error and builds polygons predictive model and input data on the same graph. The proposed research area is relevant to the processes in the financial and economic system, bringing in useful innovative elements in the generalized forecast that do not exist in continuous classical methodology
Development of monitoring of the behavior of
financial market, simulation, analysis, visualization,
prediction in modern conditions is connected with a
consistent increase in their level of formalization. The
basis for this process is the requirements of
significantly changed (in the direction of increasing)
stochastics, turbulence, volatility, financial and
economic processes. Particular relevance in the
analysis of behavior of economic time series elements
of the financial market is now becoming more
systematic development of diverse, interdependent and
mutually complementary economic and mathematical
models. The models are linked, they are operating on
the same source material, and their selection has
improved the representativeness of the algorithms of
modern economic processes of the financial market,
which is important for transformational (transitional)
market economies. In the article it is shown that the
proposed usage of instrumentation and mathematical
methods represent essentially new base for forecasting
of discrete evolutionary processes