Models and methods of researching information systems
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A systematic presentation of models of data presentation and knowledge is given, including classic database models and NOSQL databases. Classic models of knowledge representations (semantic networks, frames, clear and fuzzy productive systems, logical models), as well as modern models: descriptive logic and ontologies, and sparkle neural networks are considered. The methodology of object analysis and design of information systems, as well as means of the unified UML modeling language, are described. Original results are presented on the modeling of information systems: models of representing knowledge using descriptive logic and ontologies, models for calculating the operation of the functioning of cloud systems based on multi -channel elasticity systems with "cooling". Models of growth in the reliability of the IP software based on the distributions of the phase type, including taking into account the probabilities of detecting errors, a model for searching for information based on latent-semantic analysis, as well as models of parallel programs and methods for planning parallel calculations. It is recommended to teachers and researchers, as well as undergraduates and graduate students in the study and study of information systems and technologies
Author:
Author:Homonenko Anatoly Dmitrievich
Cover:
Cover:Hard
Category:
- Category:Computer & Technology
Series:
Series: Textbooks for universities. Special literature
ISBN:
ISBN:978-5-8114-3675-0
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