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Information × Registration Number 0223U005869, 0123U103045 , R & D reports Title Developing of models of increasing usefulness and self-reinforcing for decentralized big data analysis systems popup.stage_title Head Kuznietsov Vladyslav O., к.т.н. Registration Date 31-12-2023 Organization V.M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine popup.description2 During the reporting period, the following results were obtained: 1) A model of self-reinforcing effects based on a feedback loop model and adaptive cost control based on a state spatial model was developed; 2) A set of features is proposed, allowing effectively manage the amount of demand and utility of data in the data processing chain using the state spatial model; 3) The study of the proposed model of self-reinforcing effects with feedback loop based on the state spatial model under moderate demand fluctuations was conducted; 4) The research was conducted and the effectiveness of constructing demand curves was compared with actual ones using visual data analysis tools. The obtained models, methods and approaches to analysis, modeling of self-reinforcing effects allow to improve the understanding of the behavior of users and suppliers in the big data system and to improve decision-making in big data systems based on the value assessment in the data processing chain; the methods of visual analytics allow to understand dynamically changing features in the data, which are characteristic for long periods of time of operation of the big data system and propose an optimal set of parameters for control. The results obtained within the framework of the research can be used in the big data industry for the development of decision support systems with inclusion of a person (provider or user) in the decision-making process, for visual analytics and decision-making systems for big data processing systems. Product Description popup.authors Dunaievsky Maxim Sergiyovich Kuznetsov Vladyslav Oleksandrovich Suleymanov Seit-Bekir popup.nrat_date 2023-12-31 Close