Scientific Journal of KubSAU

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

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

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

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

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

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

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