2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT) 2018
DOI: 10.1109/stc-csit.2018.8526582
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Metamodeling as a Way to Universalization of Inductive Modeling Tools

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Cited by 8 publications
(5 citation statements)
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“…Inductive methods or methods of self-organization [32,33] can be considered as one of the units of machine learning, i.e. case studies.…”
Section: The Solving Of the Problem Of Metalearning By Inductive Methodsmentioning
confidence: 99%
“…Inductive methods or methods of self-organization [32,33] can be considered as one of the units of machine learning, i.e. case studies.…”
Section: The Solving Of the Problem Of Metalearning By Inductive Methodsmentioning
confidence: 99%
“…Metamodelling is the process of developing metamodels [23]. Modelling and metamodelling are both talking about model creation but the only difference between them is in how they are interpreted.…”
Section: Metamodelling Approach For Online Social Network Forensicmentioning
confidence: 99%
“…Metamodel is a model that describes/prescribes models [35]; [23]; [32]. It is a collection of concepts and relations that define the syntax of a model, and they are described using a model description language [36].…”
Section: A Models and Metamodelsmentioning
confidence: 99%
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“…In [18,19], the problems of metamodeling and metalearning based on an inductive approach are compared: metamodeling is a generalization of some information about a group of objects in a particular model, and metalearning is the use of accumulated experience about the best way to determine the structure and parameters of such a model. It is shown that the generalized iterative algorithm GIA GMDH [20] allows you to build mathematical models of specific objects.…”
Section: Inductive Approach For the Metalearning Task Solvingmentioning
confidence: 99%