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Titlebook: Creativity in Intelligent Technologies and Data Science; Third Conference, CI Alla G. Kravets,Peter P. Groumpos,Marina Kultsova Conference

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Networkalization of Network–Unlike Entities: How to Preserve Encoded Informationrough a focus on relations between the actors and has implemented the concomitant powerful instruments of the analysis. Some entities (objects, processes, and data) with their intrinsic web nature might be interpreted as networks naturally. Network ontology of another family, Network–Unlike Entities
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The Algorithm for the Classification of Methods for Processing Multidimensional Heterogeneous Data iincluded in the review is proposed in this paper. The algorithm is implemented in the form of software and a group of interpolation algorithms is compared by the example of the problem of constructing an oil field model for field development designing. It is shown that the proposed algorithm for sel
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Analysis a Short-Term Time Series of Crop Sales Based on Machine Learning Methodsecast of sales of various crops and provide decision support and improve the efficiency of business processes of agro-industrial companies. In this regard, the necessity of developing an algorithm that allows to form a time series of sales in accordance with the seasons available in it to improve th
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A Multifactor Small Business Management Modeluch cities, which have one or several city-forming enterprises, are called “monotowns”. A monotown is a complex structure in which the town and the city-forming enterprises are closely related. The constructed multifactor dynamic model in the article allows to organize the process of managing a smal
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Tourism Cluster Enterprises Departments’ Resource Management Based on Mobile Technologiesticle discusses the use of mobile technologies in resource management of the hotel’s housekeeping service. The mobile application «Mobile Housekeeping» is used to manage the resources of the hotel’s housekeeping service in addition to the automated PaRM web system. The automated system is based on a
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Creativity in Intelligent Technologies and Data Science978-3-030-29743-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
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