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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 Science - Analytics and Applications

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Multimodal Analytics for Next-Generation Big Data Technologies and Applications

This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data;

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Recent Developments in Data Science and Business Analytics

and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data;

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Data Analytics in Biomedical Engineering and Healthcare

Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning;

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Big Data Analytics

Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well;

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Big Data Analytics

Big Data Analytics: Applications in Business and Marketing explores the concepts and applications related to marketing and business as well;

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Data Science & Business Analytics

Data Science and Analytics explores the solutions to problems in society, environment and in industry. With the increase in the;

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

, and systems used to extract information from data and solve complex problems, various sectors have reached new heights and have changed our;

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Data Science and Data Analytics

Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and;

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Big Data Analytics for Sustainable Computing

Big data consists of data sets that are too large and complex for traditional data processing and data management applications. Therefore;

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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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Big Data and Visual Analytics

This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to;

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Essentials of Data Science and Analytics

This text provides a comprehensive overview of Data Science. With the continued advancement in storage and computing technologies, data;

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Data Science & Big Data Analytics

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and;

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Advanced Data Analytics for Power Systems

Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and;

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R Data Science Quick Reference

data science packages, with examples of how to use each of them. In this book, you'll learn about the following APIs and packages that deal;

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Military Applications of Data Analytics

Military organizations around the world are normally huge producers and consumers of data. Accordingly, they stand to gain from the many;

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Marketing Data Science

concepts, principles, and theory in the context of real-world applications. Building on Miller's pioneering program, Marketing Data Science;

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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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Recent Advances in Data Science

This book constitutes selected papers of the Third International Conference on Data Science, Medicine and Bioinformatics, IDMB 2019, held;

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Big-Data Analytics for Cloud, IoT and Cognitive Computing

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main;

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Machine Learning and Big Data Analytics Paradigms

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;

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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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Teaching Data Analytics

programs and take steps to close the gap. Teaching Data Analytics: Pedagogy and Program Design is a reference for faculty and administrators;

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Teaching Data Analytics

programs and take steps to close the gap. Teaching Data Analytics: Pedagogy and Program Design is a reference for faculty and administrators;

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Deep Learning Techniques and Optimization Strategies in Big Data Analytics

industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear;

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