Janos Abonyi is Full Professor of Computer Science and Chemical Engineering in the Department of Process Engineering at the University of Pannonia (Hungary). Previously, he was employed at the Control Laboratory of the Delft University of Technology (The Netherlands). Dr. Abonyi has co-authored more than 250 journal papers and chapters in books and has published five research monographs and one Hungarian textbook about data mining. His research interests include complexity, process engineering, quality engineering, data mining, and regional development, and Industry 4.0.
Timea Czvetko is a researcher at University of Pannonia (Hungary) with a focus on research and innovation management.
Gergely Honti is a Ph D candidate at the Department of Process Engineering at University of Pannonia (Hungary) and researcher at Institute of Advanced Studies, Kőszeg (Hungary). He has been working as a Computer Engineer for 5 years and has been involved in cutting edge technology projects, like Siemens Syngo. His research area is big data and data analysis.
7 Ebooki wg Janos Abonyi
Ágnes Vathy-Fogarassy & János Abonyi: Graph-Based Clustering and Data Visualization Algorithms
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 …
PDF
Angielski
€64.19
Tamás Kenesei & János Abonyi: Interpretability of Computational Intelligence-Based Regression Models
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 b …
PDF
Angielski
€53.49
János Abonyi & Balázs Feil: Cluster Analysis for Data Mining and System Identification
Dataclusteringisacommontechniqueforstatisticaldataanalysis, whichisusedin many ?elds, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is th …
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Angielski
€96.29
Janos Abonyi: Fuzzy Model Identification for Control
Overview Since the early 1990s, fuzzy modeling and identification from process data have been and continue to be an evolving subject of interest. Although the application of fuzzy models proved to be …
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Angielski
DRM
€114.94
Dániel Leitold & Ágnes Vathy-Fogarassy: Network-Based Analysis of Dynamical Systems
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. Furthe …
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Angielski
€53.49
János Abonyi & Tímea Czvetkó: Are Regions Prepared for Industry 4.0?
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 transformati …
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Angielski
€53.49
János Abonyi & László Nagy: Ontology-Based Development of Industry 4.0 and 5.0 Solutions for Smart Manufacturing and Production
This book presents a comprehensive framework for developing Industry 4.0 and 5.0 solutions through the use of ontology modeling and graph-based optimization techniques. With effective information man …
PDF
Angielski
€149.79
