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Data Analytics, Computational Statistics, and Operations Research for Engineers

, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications;

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Recent Developments in Data Science and Business Analytics

This edited volume is brought out from the contributions of the research papers presented in the International Conference on Data Science;

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Data Science for Business and Decision Making

Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on;

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Revival: Simulation Methodology for Statisticians, Operations Analysts, and Engineers (1988)

Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical;

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Simulation Methodology for Statisticians, Operations Analysts, and Engineers (1988)

Students of statistics, operations research, and engineering will be informed of simulation methodology for problems in both mathematical;

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Deep Learning Techniques and Optimization Strategies in Big Data Analytics

, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning;

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Engineering Analytics

Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning;

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Big Data Analytics for Sustainable Computing

learning, and network analytics. As the study of big data becomes more popular, there is an urgent demand for studies on high-level computational;

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Handbook of Big Data Analytics

is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics;

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Handbook of Big Data Analytics

is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics;

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Statistics for Biomedical Engineers and Scientists

Statistics for Biomedical Engineers and Scientists: How to Analyze and Visualize Data provides an intuitive understanding of the;

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Data Science and Big Data: An Environment of Computational Intelligence

, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention;

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Text Analytics

analysis, corpus and quantitative linguistics, statistical and computational methods, and textual data in sociology, psychology, politics, law and;

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Big Data Analytics Using Multiple Criteria Decision-Making Models

era of Big Data and Business Analytics. In this volume, the focus will be on modelling-based tools for Business Analytics (BA), with exclusive;

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Big Data Analytics Using Multiple Criteria Decision-Making Models

era of Big Data and Business Analytics. In this volume, the focus will be on modelling-based tools for Business Analytics (BA), with exclusive;

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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization;

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Applied Analytics through Case Studies Using SAS and R

Who This Book Is For Data scientists, developers, statisticians, engineers, and research students with a great theoretical understanding;

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Beginning Data Science in R 4

models. This requires computational methods and programming, and R is an ideal programming language for this. Modern data analysis requires;

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Advances in Computational Intelligence and Informatics

December 2019. It includes innovative ideas and new research findings in the field of Computational Intelligence and Informatics that will benefit;

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Law as Data

In recent years, the digitization of legal texts and developments in the fields of statistics, computer science, and data analytics have;

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Parameter Estimation in Reliability and Life Span Models

formats for estimates, graphical techniques, and numerous tables and charts allowing users to calculate estimates and analyze sample data quickly;

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Open Problems in Optimization and Data Analysis

Computational and theoretical open problems in optimization, computational geometry, data science, logistics, statistics, supply chain;

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Analytics and Data Science

This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to;

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Data Analytics in Biomedical Engineering and Healthcare

in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and;

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Machine Intelligence and Data Analytics for Sustainable Future Smart Cities

This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on;

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Computational Intelligence in Communications and Business Analytics

); computational intelligence; data science and advanced data analytics; and intelligent data mining and data warehousing.;

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Big Data, Big Innovation

, programming, and research for a more complete picture of operations Effective management means combining data, people, and analytics to create a;

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