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Statistical Learning and Data Sciences

its applications, new frontiers in data analysis for nuclear fusion, and geometric data analysis.;

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Data Analysis and Applications 1

This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis;

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Applied Modeling Techniques and Data Analysis 2 - Financial, Demographic, Stochastic and Statistical Models and Methods

on this topic, meeting increasing demand from wide circles of the scientific community. Applied Modeling Techniques and Data Analysis 2 is a;

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Future Data and Security Engineering

; Access Control in NoSQL and Big Data; Context-based Data Analysis and Applications; Emerging Data Management Systems and Applications.;

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Database Systems for Advanced Applications

; index; query analysis; XML data management; privacy protection; and uncertain data management; and in part 2: graph data management; physical;

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Database Systems for Advanced Applications

; index; query analysis; XML data management; privacy protection; and uncertain data management; and in part 2: graph data management; physical;

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Data Science and Its Applications

Analysis, Image Captioning, Gene Analysis and Scene Text Analysis Data Optimization Due to multidisciplinary applications of data;

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Data Analysis and Applications 2

This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis;

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Data Analysis for Omic Sciences: Methods and Applications

Data Analysis for Omic Sciences: Methods and Applications, Volume 82, shows how these types of challenging datasets can be analyzed;

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[Set Data Structures and Algorithms Analysis, Vol 1]2]

The systematic description starts with basic theory and applications of different kinds of data structures, including storage structures;

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Multimedia Technologies in the Internet of Things Environment, Volume 2

analysis. Further, multimedia communication, deep learning models to multimedia data, and the new (IOT) approaches are also covered. It addresses;

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Applications of Data Management and Analysis

This book addresses and examines the impacts of applications and services for data management and analysis, such as infrastructure;

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Methods and Applications of Statistics in Clinical Trials, Volume 1 and Volume 2

understanding data throughout the various stages of clinical trial design and analysis. Volume 2 Featuring newly-written material as well as established;

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Bioinformatics Research and Applications

submissions. They were organized in topical sections named: network analysis and modelling; genomic data analysis; cancer data analysis; structure and;

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Cluster Analysis and Applications

programs and modules, Cluster Analysis and Applications may be used by students and researchers in various disciplines, working in data analysis or;

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Cluster Analysis and Applications

programs and modules, Cluster Analysis and Applications may be used by students and researchers in various disciplines, working in data analysis or;

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Exact Analysis of Discrete Data

in a conceptually integrated manner. The topics covered range from univariate discrete data analysis, a single and several 2 x 2 tables, a;

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Network Behavior Analysis

This book provides a comprehensive overview of network behavior analysis that mines Internet traffic data in order to extract, model, and;

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Analysis of Mixed Data

overview and comprehensive survey of mixed data analysis Blending theory and methodology, this book illustrates concepts via data;

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Analysis of Mixed Data

overview and comprehensive survey of mixed data analysis Blending theory and methodology, this book illustrates concepts via data;

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Data Science

, techniques and algorithms. * Part II: Data Design and Analysis This part comprises five chapters on data design and analysis. * Part III;

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Advanced Studies in Behaviormetrics and Data Science

This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and;

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Advanced Studies in Behaviormetrics and Data Science

This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and;

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Intelligent Data Analysis for Biomedical Applications

Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition;

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Static Analysis

address all aspects of static analysis, including abstract domains, abstract interpretation, abstract testing, bug detection, data flow analysis;

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Applications of Management Science

envelopment analysis, and managerial applications. Section A focuses on multiple criteria applications in college course scheduling, offshore;

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Intelligent Data Analysis for COVID 19 Pandemic

; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions;

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