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Киреев, Василий Сергеевич

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Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
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Василий Сергеевич
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Association Rules Mining for Predictive Analytics in IoT Cloud System

2019, Guseva, A. I., Bochkaryov, P. V., Kuznetsov, I. A., Kireev, V. S., Filippov, S. A., Киреев, Василий Сергеевич, Факультет бизнес-информатики и управления комплексными системами

© 2019, Springer Nature Switzerland AG. The Internet of Things is one of the fastest growing areas of research currently. A promising area for the introduction of this technology is housing and communal services, for which the reduction of accidents, increasing efficiency, in general, focus on transparency, personalization of services and payments for the end user are relevant. This article is devoted to the development and testing of predictive algorithm for predicting the need for repair of various units within the smart home, such as heating, ventilation and air conditioning. The basis for the algorithm is the association rules mining. The paper presents the results of experiments and the directions for further improvement of the algorithm.

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The system of automatic monitoring of social media for the nuclear industry

2019, Kireev, V. S., Posmakov, N. P., Emelianenko, A. S., Kisselev, Y. V., Киреев, Василий Сергеевич, Факультет бизнес-информатики и управления комплексными системами

© 2019 IEEEAnalysis of the external environment of the enterprise is an important process in management and allows you to identify risks in advance, including information, and manage them. This work is devoted to the development of a system of automatic collection and analysis of information on social media sources for the enterprise in the nuclear industry. The article focuses on the procedure of collecting text information with the help of special crawlers, as well as on the issues of its storage and primary processing.

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Web-Analytics Based on Fuzzy Cognitive Maps

2019, Kireev, V. S., Rogachev, A. S., Yurin, A., Киреев, Василий Сергеевич

© 2019, Springer Nature Switzerland AG. One of the main tasks of web Analytics is to analyze the structure of websites, on the basis of which data is determined by the behavior of visitors to make decisions on the development and expansion of the functionality of the web resource. Cognitive maps are used to model weakly structured subject areas in which, for a number of reasons, it is impossible to formalize the relationship between factors functionally. For construction of fuzzy cognitive maps seek help from the expert of the problem area, which on the basis of their knowledge and experience can reliably identify the factors and assess the strength and direction of relations between them. As part of this work, it was decided to choose conversion as a usability metric. In order to verify the correctness of the algorithm for calculating the conversion was used text log-file of the real site.

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Monitoring System for the Housing and Utility Services Based on the Digital Technologies IIoT, Big Data, Data Mining, Edge and Cloud Computing

2019, Kireev, V. S., Bochkaryov, P. V., Guseva, A. I., Kuznetsov, I. A., Filippov, S. A., Киреев, Василий Сергеевич, Бочкарёв, Пётр Владимирович, Гусева, Анна Ивановна, Кузнецов, Игорь Александрович, Факультет бизнес-информатики и управления комплексными системами

© 2019, Springer Nature Switzerland AG.This article discusses the development of an information system for monitoring, remote control and support of technical conditions in a housing infrastructure engineering system. The monitoring system is based on the concept of edge computing - cloud computing and is designed to collect and analyze Big data procured via the Industrial Internet of Things (IIoT). Author acknowledges support from the MEPhI Academic Excellence Project (Contract No. 02.a03.21.0005).