Optimizing Big Data Management and Industrial Systems With Intelligent Techniques

Optimizing Big Data Management and Industrial Systems With Intelligent Techniques

Sultan Ceren Öner, Oya H. Yüregir
Copyright: © 2019 |Pages: 238
ISBN13: 9781522551379|ISBN10: 1522551379|EISBN13: 9781522551386
DOI: 10.4018/978-1-5225-5137-9
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MLA

Öner, Sultan Ceren, and Oya H. Yüregir, editors. Optimizing Big Data Management and Industrial Systems With Intelligent Techniques. IGI Global, 2019. https://doi.org/10.4018/978-1-5225-5137-9

APA

Öner, S. C. & Yüregir, O. H. (Eds.). (2019). Optimizing Big Data Management and Industrial Systems With Intelligent Techniques. IGI Global. https://doi.org/10.4018/978-1-5225-5137-9

Chicago

Öner, Sultan Ceren, and Oya H. Yüregir, eds. Optimizing Big Data Management and Industrial Systems With Intelligent Techniques. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-5137-9

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In order to survive an increasingly competitive market, corporations must adopt and employ optimization techniques and big data analytics for more efficient product development and value creation. Understanding the strengths, weaknesses, opportunities, and threats of new techniques and manufacturing processes allows companies to succeed during the rise of Industry 4.0.

Optimizing Big Data Management and Industrial Systems With Intelligent Techniques explores optimization techniques, recommendation systems, and manufacturing processes that support the evaluation of cyber-physical systems, end-to-end engineering, and digitalized control systems. Featuring coverage on a broad range of topics such as digital economy, fuzzy logic, and data linkage methods, this book is ideally designed for manufacturers, engineers, professionals, managers, academicians, and students.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Advances in Data Mining and Database Management (ADMDM) Book Series
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Preface
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Chapters
Back Materials
Compilation of References
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Related References
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About the Contributors
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Index
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