 Название: Big data: Conceptual Analysis and Applications
Автор: Michael Z. Zgurovsky, Yuriy P. Zaychenko
Издательство: Springer
ISBN: 3030142973
Год: 2019 (2020 Edition)
Страниц: 298
Язык: английский
Формат: pdf (true), epub
Размер: 13.6 MB
The book is devoted to the analysis of big data in order to extract from these data hidden patterns necessary for making decisions about the rational behavior of complex systems with the different nature that generate this data. To solve these problems, a group of new methods and tools is used, based on the self-organization of computational processes, the use of crisp and fuzzy cluster analysis methods, hybrid neural-fuzzy networks, and others. The book solves various practical problems. In particular, for the tasks of 3D image recognition and automatic speech recognition large-scale neural networks with applications for Deep Learning systems were used. Application of hybrid neuro-fuzzy networks for analyzing stock markets was presented. The analysis of big historical, economic and physical data revealed the hidden Fibonacci pattern about the course of systemic world conflicts and their connection with the Kondratieff big economic cycles and the Schwabe-Wolf solar activity cycles. The book is useful for system analysts and practitioners working with complex systems in various spheres of human activity.
Contents:
Introduction
1 The Cluster Analysis in Big Data Mining
1.2 Cluster Analysis, Problem Definition. Criteria of Quality and Metrics
1.3 Classification of Algorithms of Cluster Analysis
1.4 Fuzzy C-Means Method
1.5 Gustavson-Kessel’s Fuzzy Cluster Analysis Algorithm
1.6 Adaptive Robust Clustering Algorithms
1.7 Robust Recursive Algorithm of Possibilistic Fuzzy Clustering for Big Data
1.8 Application of Fuzzy Clustering Methods in the Problems of Automatic Classification
2 Deep Neural Networks and Hybrid GMDH-Neuro-fuzzy Networks in Big Data Analysis
2.2 Autoassociators. Autoencoders
2.3 Boltzmann Machines (BM)
2.4 Training Method Contrastive Divergence (CD)
2.5 Stacked Autoassociators Networks
2.6 Deep Networks Learning
2.7 Deep Learning Regularization
2.8 Cascade Neo-fuzzy Neural Networks Structure Synthesis and Learning with Application of GMDH
2.9 Evolving GMDH-Neuro-fuzzy Network with Small Number of Tuning Parameters
2.10 A Deep GMDH System Based on the Extended Neo-fuzzy Neuron and Its Training
3 Pattern Recognition in Big Data Analysis
3.2 FNN NEFClass. Architecture, Properties, the Algorithms of Learning of Base Rules and Membership Functions
3.3 Analysis NEFClass Properties. The Modified System NEFClassM
3.4 Experimental Studies. Comparative Analysis of FNN NEFClass and NEFClass-M in Classification Problems
3.5 Application of NEFClass in the Problem of Objects Recognition at Electro-Optical Images
3.6 Recognition of Images in Medical Diagnostics Using Fuzzy Neural Networks
3.7 Medical Images of Breast Tumors Diagnostics with Application of Hybrid CNN-FNN Networks
4 Intellectual Analysis of Systemic World Conflicts and Global Forecast for the 21st Century
4.2 Identifying the Regularity of the Emergence of Systemic World Conflicts, Based on the Analysis of Big Historical Data
4.3 Interrelation Between Periodic Processes in the Global Economy and Systemic World Conflicts
4.4 Metric Aspects of Periodic Processes in Economy and Society
4.5 Big Solar Spiral of Stirring up Global Systemic Conflicts
4.6 Influence of Global Threats on the Sustainable Development of Countries and Regions of the World
4.7 The General Concept of the Periodic Systemic World Conflicts
4.8 Conclusions
Скачать Big data: Conceptual Analysis and Applications
|
Навигация
Вход на сайт
Реклама
Big Data: Conceptual Analysis and Applications 
