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Game method of ontology clustering

Petro Kravets, +2 more
- Vol. 5, pp 26-39
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The article was published on 2019-06-10 and is currently open access. It has received 7 citations till now. The article focuses on the topics: Ontology (information science) & Cluster analysis.

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Використання кросвордів у навчальному процесі

TL;DR: The use of innovative methods learning, especially crosswords to control the theoretical knowledge of students of secondary school is discussed.
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Меры семантической близости в онтологии

TL;DR: In this paper, the authors propose a method to improve the quality of the information provided by the users by using the information gathered from the users' own data, such as: для онтологических термов понятий и экземпляров ǫ.
References
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Stochastic approximation and recursive algorithms and applications

TL;DR: A review of continuous time models can be found in this paper, where the authors present an algorithm for the Ergodic Cost Problem: Formulation and Algorithms 7.1 Formulation of the control problem 7.2 A Jacobi Type Iteration 7.3 Approximation in Policy Space 7.4 Numerical Methods 7.5 The Control Problem 7.6 The Interpolated Process 7.7 Computations 7.8 Linear Programming 7.
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Clustering for Data Mining: A Data Recovery Approach

TL;DR: In this article, the authors proposed a data recovery approach in clustering based on graph-theoretic approaches to deal with missing data Validity and reliability in the context of K-means clustering.
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