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Machine Intelligence and Big Data Analytics for Cybersecurity Applications

. Bridging an important gap between machine intelligence, big data, and cybersecurity communities, it aspires to provide a relevant reference for;

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Machine Learning and Big Data Analytics Paradigms

big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data;

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Big Data and Artificial Intelligence for Healthcare Applications

This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications;

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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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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 Analytics

. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and;

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Big Data Analytics

. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence 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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Managerial Perspectives on Intelligent Big Data Analytics

Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive;

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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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Big Data Analytics Methods

and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen;

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Context-Aware Machine Learning and Mobile Data Analytics

well as researchers. Overall, this book provides a good reference for both academia and industry people in the broad area of data science;

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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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Big Data: A Guide to Big Data Trends, Artificial Intelligence, Machine Learning, Predictive Analytics, Internet of Things, Data

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Big Data Analytics in Cybersecurity

Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering;

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Neural Information Processing

reviewed and selected for publication out of 618 submissions. The 191 papers included in this volume set were organized in topical sections as;

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Neural Information Processing

reviewed and selected for publication out of 618 submissions. The 191 papers included in this volume set were organized in topical sections as;

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Advances on Smart and Soft Computing

processing, natural language processing, predictive analytics, knowledge management approaches, information security, security in IoT, big data and;

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Big Data and Business Analytics

of big data, it becomes vitally important for organizations to make sense of this data and information in a timely and effective way. That's;

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Foundations of Data Science for Engineering Problem Solving

intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial;

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Foundations of Data Science for Engineering Problem Solving

intelligence, machine learning, data science and big data analytics to look for new techniques in business analytics and applications of artificial;

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Applications of Machine Learning in Big-Data Analytics and Cloud Computing

Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has;

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Pattern Recognition and Machine Intelligence

processing; soft and natural computing; speech and natural language processing; bioinformatics and computational biology; data mining and big data;

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Big Data Analytics for Intelligent Healthcare Management

Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures;

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Engineering Analytics

control towers. Basic methods in the areas of visual, descriptive, predictive, and prescriptive analytics and Big Data are introduced;

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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 Learning for Big Data Analysis

for big data analytics. Big data is a term for data sets that are so large or complex that traditional data processing application software;

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