Abstract
This chapter presents a new approach to describing control mechanisms in the regional building cluster which is viewed as a heterarchical system. The structural model of building cluster, based on this description, is represented. The heterogeneity of the information environment caused by the fact that the entities as are united in a cluster of the primary production branch, and the accompanying industries, complicates the creation of the common information space supporting activities of a cluster. The functional and information simulation of the system is executed for the purpose of formation of the integrated information and communication environment on the example of clusters of several regions of Russia. As a result of the fulfilled research regression models were built for the short-range forecast of values within the framework of analysis of building cluster. The forecast of volumes of input of accommodation in region was chosen as a task. The built regression models will be able adequately to do prognoses on a short period.
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Anufriev, D., Petrova, I., Kravets, A., Vasiliev, S. (2019). Big Data-Driven Control Technology for the Heterarchic System (Building Cluster Case-Study). In: Kravets, A. (eds) Big Data-driven World: Legislation Issues and Control Technologies. Studies in Systems, Decision and Control, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-030-01358-5_18
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DOI: https://doi.org/10.1007/978-3-030-01358-5_18
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