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Titlebook: Open Semantic Technologies for Intelligent Systems; 11th International C Vladimir Golenkov,Viktor Krasnoproshin,Daniil Shun Conference proc

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樓主: risky-drinking
51#
發(fā)表于 2025-3-30 10:28:31 | 只看該作者
52#
發(fā)表于 2025-3-30 14:02:48 | 只看該作者
,The Approach to?the?Evaluation of?Telecommunications Company Functioning Quality,the largest mobile operators on Ukraine were analyzed. The method for determining the outflow of subscribers from a mobile operator using a set of machine learning methods was proposed. Patterns and factors were identified that most affect the subscriber’s decision to refuse the services of a telecom operator.
53#
發(fā)表于 2025-3-30 17:01:46 | 只看該作者
,Semantic Aspects of?the?Experts’ Communication Problem in?Relation to?the?Conceptual Design of?Compr the initiative in the creation of such a language may come from experts and the business environment, especially from the global innovative IT companies, for which such language would greatly simplify the writing of software as would replace or simultaneously play a role the programming language.
54#
發(fā)表于 2025-3-30 21:48:52 | 只看該作者
,Knowledge Ecosystems: An Intelligent Agent for?Knowledge Discovery,ent activity previously unknown patterns are revealed and can be interpreted within the subject domain. The effectiveness of the proposed approach is demonstrated on the example of model data analysis.
55#
發(fā)表于 2025-3-31 02:06:01 | 只看該作者
56#
發(fā)表于 2025-3-31 06:00:04 | 只看該作者
,Concepts and?Models of?Semantic Technologies,phere. Ontological analysis is used as an instrument for representation of domain knowledge and formalisation of relations between main components of semantic technologies. Examples of semantic software designed by us are used for testing of proposed approach.
57#
發(fā)表于 2025-3-31 10:59:23 | 只看該作者
58#
發(fā)表于 2025-3-31 14:53:10 | 只看該作者
,Subsystem for?Intelligent Systems’ Users Training, system in the fundamentals of using, operating, and developing the system. As a foundation for the implementation of this approach, it is proposed to use an Open Semantic Technology for Intelligent Systems (OSTIS Technology).
59#
發(fā)表于 2025-3-31 20:49:45 | 只看該作者
60#
發(fā)表于 2025-3-31 22:02:00 | 只看該作者
,On the?Current State and?Challenges of?Artificial Intelligence,ribed. The problems relevant for the development of the main directions and forms of its activity are defined. Approaches to their solution, based on a new technological wave, are suggested. Issues important for the development of this scientific and technological discipline are discussed.
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