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Algorithms and Models for Network Data and Link Analysis

Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few;

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Fundamentals Of Network Biology

, networks, etc) of network biology, construction and analysis of biological networks, methods for identifying crucial nodes in biological networks;

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Network Algorithms, Data Mining, and Applications

. Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics;

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Network Algorithms, Data Mining, and Applications

. Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics;

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Biological Network Analysis

Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene;

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Social Network-Based Recommender Systems

analysis and detailed summary. Social Network-Based Recommender Systems is designed as a reference for professionals and researchers working;

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Brits Speak Out

This work introduces concepts and algorithms in optimization theory for neural network research, covers the main neural network models and;

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The EM Algorithm and Related Statistical Models

data problems. The text covers current topics including statistical models with latent variables, as well as neural network models, and Markov;

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Graph Algorithms Practical Examples in Apache Spark and Neo4j

for building dynamic network models or forecasting real-world behavior. Mark Needham and Amy Hodler from Neo4j explain how graph;

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Computational Geo-Electromagnetics

techniques for building of geoelectrical models from electromagnetic data, featuring Bayesian statistical analysis and neural network algorithms;

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Network Flows

strategies and analysis tools such as data scaling, geometric improvement arguments, and potential function arguments. provides an easy-to;

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Data Structures and Network Algorithms

problems in network optimization are covered in detail, including a development of the data structures they use and an analysis of their running;

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Big Data in Omics and Imaging, Two Volume Set

analysis and the modern advanced statistical methods for big data Provides tools for high dimensional data reduction Discusses searching;

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Structural Analysis in the Social Sciences

, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for;

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Structural Analysis in the Social Sciences

, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for;

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Auction Theory for Computer Networks

adaptive algorithms for ensuring robust network operation over time-varying and heterogeneous environments, and for optimizing decisions about;

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Advances in 3D Geoinformation

: topological, geometrical and network models for maintenance of 3D geoinformation- Data Analysis and Visualization: frameworks for representing 3D;

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Big Data in Omics and Imaging: Association Analysis

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both;

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Big Data in Omics and Imaging: Association Analysis

Big Data in Omics and Imaging: Association Analysis addresses the recent development of association analysis and machine learning for both;

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Data Algorithms

and machine learning solutions for problems in bioinformatics, genomics, statistics, and social network analysis. This book also includes an;

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Introduction to Network Traffic Flow Theory

theories for modeling, mathematical analysis and traffic simulations in road networks. The book breaks ground, addressing traffic flow theory in a;

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Social Network Analysis With Applications

measures, social link theory, subgroup analysis, relational algebra, data sources, and more. Examples of mathematical calculations and formulas for;

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Advances in Knowledge Discovery and Data Mining

methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data;

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Advances in Knowledge Discovery and Data Mining

methods and algorithms; opinion mining and sentiment analysis; clustering; feature extraction and pattern mining; graph and network data;

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Practical Data Analysis -

of data and how to turn it into insight Who This Book Is For This book is for developers who want to implement data analysis and data-driven;

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SAP Predictive Analytics The Comprehensive Guide Rheinwerk Publishing

and the Automated Modeler to the Data Manager and Social Network Analysis. Get predictive analysis working for you. Highlights include;

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Distributions in Stochastic Network Models

analysed stochastic network models are aggregated systems of elements in random environments. To construct and to analyse a large number;

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