Optimizing Big Data Management and Industrial Systems With Intelligent Techniques (Advances in Data Mining and Database Management)
Authors: Sultan Ceren Öner
ISBN-10: 1522551379
ISBN-13: 9781522551379
Edition 版次: 1
Publication Date 出版日期: 2018-12-07
Print Length 页数: 238 pages
Book Description
By finelybook
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.
Preface
Chapter 1: Data Management and Big Data Analytics
Chapter 2: Big Data Analytics
Chapter 3: Analytical Review of the Applications of Multi-Criteria Decision Making in Data Mining
Chapter 4: Multi-Criteria Decision Making in Manufacturing Systems
Chapter 5: Data Linkage Methods for Big Data Management in Industry 4.0
Chapter 6: Forecasting the Daily Sales of a Franchise
Chapter 7: A Smart Recyclable Waste Collection System Based on loT and an Application
Chapter 8: Waste Management in Thermal Power Plants
Compilation of References
Related References
About the Contributors
