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Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics

world for the better. The Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics is a;

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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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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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Green Computing and Predictive Analytics for Healthcare

the involvement of networking are creating smart campuses and smart houses. The book includes chapters on the Internet of Things and Big Data;

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Healthcare Analytics Knowledge

integrated and comprehensive treatment on recent research advancements in data-driven healthcare analytics in an effort to provide more personalized;

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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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Handbook of Research on Applications and Implementations of Machine Learning Techniques

platform in which they can keep up with machine learning trends and their developments in the real world. The Handbook of Research on;

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Translational Bioinformatics Applications in Healthcare

and viral diseases, and COVID-19-related research. Covers recent technologies such as Blockchain, IoT, and Big data analytics;

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Handbook of Data Science Approaches for Biomedical Engineering

Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering;

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Handbook of Big Data Analytics: Applications in ICT, security and business analytics

Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and;

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Healthcare Data Analytics

is structured as a survey-style article discussing the prominent research issues and the advances made on that research topic. The book is divided;

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Trends of Data Science and Applications

provides theory and practices in the area of data science, which add a social, geographical, and temporal dimension to data science research. It;

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Data Science and Its Applications

on Data Science and its applications discusses about data science overview, scientific methods, data processing, extraction of meaningful;

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Big Data Analytics for Intelligent Healthcare Management

in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine;

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Big Data Analytics

science, big data, and data analytics. The second part focuses on applications of business analytics including: Big data analytics and;

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Big Data Analytics

science, big data, and data analytics. The second part focuses on applications of business analytics including: Big data analytics and;

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Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research;

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Innovations in Computer Science and Engineering

research in data science and analytics, cloud computing, machine learning, data mining, big data and analytics, information security and privacy;

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Artificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved;

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Advances in Big Data Analytics

Today, big data affects countless aspects of our daily lives. This book provides a comprehensive and cutting-edge study on big data;

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Big Data Analytics for Sustainable Computing

research on emerging analytical techniques and data processing software.;

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Handbook of Big Data Analytics: Methodologies

Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and;

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Big-Data Analytics for Cloud, IoT and Cognitive Computing

analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data;

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Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;

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Terahertz Biomedical and Healthcare Technologies

recognition, and data analytics research utilized to enhance the effectiveness of terahertz technologies;

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Analytics in Healthcare: A Practical Introduction

presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The book also identifies;

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Data Science and Data Analytics

research gaps or problems Identifies many areas and uses of data science in the smart era Applies data science to agriculture;

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