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Big Data of Complex Networks

Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural;

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Big Data of Complex Networks

Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural;

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Deep Learning for Data Analytics

analysis. Deep learning transforms data through a cascade of layers, helping systems analyze and process complex data sets. Deep learning;

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Optimization, Learning, and Control for Interdependent Complex Networks

* Provides a comprehensive investigation of advance data analytics and machine learning algorithms for large-scale complex networks * Presents;

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Multilayer Networks

Multilayer networks is a rising topic in Network Science which characterizes the structure and the function of complex systems formed by;

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Multilayer Networks

Multilayer networks is a rising topic in Network Science which characterizes the structure and the function of complex systems formed by;

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Complex Networks

approaches for extracting information from structural data, and advanced techniques for multiscale analysis. What makes networks complex;

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Statistical and Machine Learning Approaches for Network Analysis

Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches;

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Co-patenting

the complexity of networks. This book compiles a series of studies by the author on geographical location and co-patenting using data that;

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Co-patenting

the complexity of networks. This book compiles a series of studies by the author on geographical location and co-patenting using data that;

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Complex Networks

of complex network analysis. Filling this need, Complex Networks: An Algorithmic Perspective supplies the basic theoretical algorithmic and graph;

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Complex Networks

of complex network analysis. Filling this need, Complex Networks: An Algorithmic Perspective supplies the basic theoretical algorithmic and graph;

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Fuzzy Recurrence Plots and Networks with Applications in Biomedicine

, geosciences, and social economics to address issues in experimental nonlinear signal and data processing.;

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Fuzzy Recurrence Plots and Networks with Applications in Biomedicine

, geosciences, and social economics to address issues in experimental nonlinear signal and data processing.;

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Big Data and Networks Technologies

This book reviews the state of the art in big data analysis and networks technologies. It addresses a range of issues that pertain to;

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Advances in Data Science

This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and;

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Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track

autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent;

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Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track

autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent;

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Impulsive Synchronization of Complex Dynamical Networks

distributed delay coupling. Studies on impulsive synchronization of complex dynamical networks have attracted engineers and scientists from various;

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Large Scale Structure And Dynamics Of Complex Networks

the various problems in data analysis visualization and modeling of complex networks.;

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Disrupted Networks: From Physics To Climate Change

twentieth century, based on experiment and theory (data and knowledge) from the three-tiered science of experiment, computation and theory (data;

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Machine Learning and Knowledge Discovery in Databases

autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent;

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Machine Learning and Knowledge Discovery in Databases

autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent;

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Machine Learning and Knowledge Discovery in Databases

autoencoders; domain adaptation; sketching, sampling, and binary projections; graphical models and causality; (spatio-) temporal data and recurrent;

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Big Data in Complex and Social Networks

This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks;

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Big Data in Complex and Social Networks

This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks;

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Machine Learning in Complex Networks

semantic meaning of the data. This book intends to combine two widely studied research areas, machine learning and complex networks, which in turn;

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