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Résultat de Recherche

Titre : Tous
- Auteur : "János Abonyi" - Éditeur : Tous - Référence : Toutes - Format : Tous

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5 Livre(s)
Télécharger le livre :  Are Regions Prepared for Industry 4.0?

Are Regions Prepared for Industry 4.0?

51,49

János Abonyi , Tímea Czvetkó , Gergely Marcell Honti
Springer

The concept of industry 4.0 is spreading worldwide and readiness models exist to determine organizational or national maturity. On the other hand, the regional perspective of the digital transformation is yet to be widely researched, although it significantly determines...

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Télécharger le livre :  Network-Based Analysis of Dynamical Systems

Network-Based Analysis of Dynamical Systems

51,49

János Abonyi , Ágnes Vathy-Fogarassy , Dániel Leitold
Springer

This book explores the key idea that the dynamical properties of complex systems can be determined by effectively calculating specific structural features using network science-based analysis. Furthermore, it argues that certain dynamical behaviours can stem from the...

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Télécharger le livre :  Interpretability of Computational Intelligence-Based Regression Models

Interpretability of Computational Intelligence-Based Regression Models

56,64

János Abonyi , Tamás Kenesei
Springer

The key idea of this book is that hinging hyperplanes, neural networks and support vector machines can be transformed into fuzzy models, and interpretability of the resulting rule-based systems can be ensured by special model reduction and visualization techniques....

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Télécharger le livre :  Graph-Based Clustering and Data Visualization Algorithms

Graph-Based Clustering and Data Visualization Algorithms

56,64

János Abonyi , Ágnes Vathy-Fogarassy
Springer

This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space. The application of graphs in clustering and...

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Télécharger le livre :  Cluster Analysis for Data Mining and System Identification

Cluster Analysis for Data Mining and System Identification

113,29

János Abonyi , Balázs Feil
Birkhäuser

Dataclusteringisacommontechniqueforstatisticaldataanalysis,whichisusedin many ?elds, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classi?cation of similar objects into di?erent groups, or more...

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