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Data Industry

Provides an introduction of the data industry to the field of economics This book bridges the gap between economics and data science to;

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IoT-Based Data Analytics for the Healthcare Industry

IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare;

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Data-Driven Healthcare

Healthcare is changing, and data is the catalyst Data is taking over in a powerful way, and it's revolutionizing the healthcare industry;

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Fundamentals of Big Data Network Analysis for Research and Industry

Fundamentals of Big Data Network Analysis for Research and Industry Hyunjoung Lee, Institute of Green Technology, Yonsei University;

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Data Protection in the Financial Services Industry

Privacy and data protection are now important issues for companies across the financial services industry. Financial records are amongst;

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The US Brewing Industry

A definitive study that uses a blend of theory, history, and data to analyze the evolution of the US brewing industry; draws on theoretical;

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Service Industry Databook

various sources of data. This book is a quick source of information on service industry statistics across many nations of the world. The reader;

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Service Industry Databook

various sources of data. This book is a quick source of information on service industry statistics across many nations of the world. The reader;

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Artificial Intelligence for Fashion Industry in the Big Data Era

This book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial;

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Industry 4.0, AI, and Data Science

The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine;

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Innovative Applications of Big Data in the Railway Industry

in the Railway Industry is a pivotal reference source for the latest research findings on the utilization of data sets in the railway industry;

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Data Analytics in Reservoir Engineering

Data Analytics in Reservoir Engineering describes the relevance of data analytics for the oil and gas industry, with particular emphasis on;

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Analytics for Insurance

The business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry;

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From Big Data to Intelligent Data

This book addresses many of the gaps in how industry and academia are currently tackling problems associated with big data. It introduces;

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Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications

are organized into the following topical headings: big data analytics and distributed systems; security and privacy engineering; industry 4.0;

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Annual Report on the Big Data of New Energy Vehicle in China (2021)

of NEVs industry. Various graphs&charts, detailed data this book offers will familiarize readers with the operation characteristics and;

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Data Science

topics covered range from pure data science to fake news detection, as well as Internet of Things in the context of Industry 4.0. Data science;

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Data Science and Intelligent Applications

This book includes selected papers from the International Conference on Data Science and Intelligent Applications (ICDSIA 2020), hosted by;

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Operational Research in Industry

Operational Research in Industry brings together the experience of an international group of practising OR consultants, researchers and;

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Plastics Industry 4.0

Plastics Industry 4.0 provides a sophisticated insight into the development of the plastics industry in terms of digitalization and;

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SAS Programming in the Pharmaceutical Industry, Second Edition

analysis and reporting of clinical trial data in the pharmaceutical industry.SAS Programming in the Pharmaceutical Industry, Second Edition begins;

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Practical Data Science

in the industry. Data scientist Andreas Vermeulen demonstrates in detail how to build and provision a technology stack to yield repeatable;

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Big Data Computing

professionals in the field of data computation and analysis. Presenting a mix of industry cases and theory, Big Data Computing discusses the;

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