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EN
The methods of organization of a computer network in the context of its application to Industry 4.0 are analyzed. The most optimal methods of network organization within the workshop, enterprise and cascade of enterprises located at a considerable distance are determined.
EN
This paper proposes ways of personalization the process of analysis and management of financial flows of the company that provide definition of strategy for business development. In order to ensure the individual approach have been analyzed the methods of optimization of for making strategic decisions and have been identified peculiarities of their application in this area. This allowed to determine several measures to provide for dynamic changes that occur in the financial condition of the company under the influence of implemented solutions and select the most appropriate decisions to change strategy. For successful implementation, the search of strategy should to provide an individual approach to determining the quality of finances management by taking into account the personal data of activity the company. The modern concept of use of computers and information technology and implementation the expert knowledge provides for the creation of intelligent information systems in specific subject areas: management, audit, statistics etc. Therefore, for solving the basic problems is proposed development of intellectual information system of financial management, which will offer the user optimal options, making for strategy development through intellectual component. As the prototype of such a system is the intelligent information system of financial management (IISFM) that is characterized by a set of informational, technical, programmatic and technological means of telecommunication, knowledge bases and data banks, methods and procedures.
EN
In this article suggest some new approaches to solving the problems of medical data analysis and their personalization. To accomplish this was proposed to create a decision support system to the execution of sequence stages of analysis of patient's data. The main stages of development and design of decision support systems that enable to make decomposition of control process and describe the relationship between input and output control flows. Applying the theory of decision trees during construction of decision trees of decision support system is due to the formation of a sequence of questions asked by the doctor when searching an individual approach when choosing a treatment. Decision tree creates a hierarchical structure of rules. This approach allows you to present the logic of sequence issues by doctor in solving the medical problem history and it makes possible to simulate decision making process by physician when selecting treatment scheme. Search the target value of output of decision medical support system makes it possible to select top of graph system that is located with more probability on the best way to the target. Important step in addressing the process of personalizing treatment schemes is estimated function that is based on Bayes theorem. Weight of occurrence next event corresponds to the highest value of the posterior probability of occurrence of the next state, given the time-dependent input parameters. Proposed improved method of decision-making for personalization standard schemes by modifying the method of decision-making based on decision trees considering relationship between the input parameters and evaluation function and result of its works is a personalized therapeutic scheme of treatment. It analyzed the quantitative results of applying the proposed method and existing for determining personalized schemes.
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