The world today is driven by Industry 4.0, which is generating data at an uncontrolled pace. This book examines Big Data and its applications. It emphasizes how Big Data is transforming Industry 4.0. It also examines systems architectures and complementary technologies including IoT, AI, and machine learning.
The world today is driven by Industry 4.0, which is generating data at an uncontrolled pace. This book examines Big Data and its applications. It emphasizes how Big Data is transforming Industry 4.0. It also examines systems architectures and complementary technologies including IoT, AI, and machine learning.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Prof. P. Kaliraj is the Vice-Chancellor of Bharathiar University, Coimbatore, India. Prof. T. Devi is the dean of faculty of research at the Department of Computer Applications, Bharathiar University, Coimbatore, India
Inhaltsangabe
Preface. Acknowledgments. Editors. Contributors. 1 Data Science and Its Applications. 2 Industry 4.0: Data and Data Integration. 3 Forecasting Principles and Models: An Overview. 4 Breaking Technology Barriers in Diabetes and Industry 4.0. 5 Role of Big Data Analytics in Industrial Revolution 4.0. 6 Big Data Infrastructure and Analytics for Education 4.0. 7 Text Analytics in Big Data Environments. 8 Business Data Analytics: Applications and Research Trends. 9 Role of Big Data Analytics in the Financial Service Sector. 10 Role of Big Data Analytics in the Education Domain. 11 Social Media Analytics. 12 Robust Statistics: Methods and Applications. 13 Big Data in Tribal Healthcare and Biomedical Research. 14 PySpark towards Data Analytics. 15 How to Implement Data Lake for Large Enterprises. 16 A Novel Application of Data Mining Techniques for Satellite Performance Analysis. 17 Big Data Analytics: A Text Mining Perspective and Applications in Biomedicine and Healthcare. Index.
Preface. Acknowledgments. Editors. Contributors. 1 Data Science and Its Applications. 2 Industry 4.0: Data and Data Integration. 3 Forecasting Principles and Models: An Overview. 4 Breaking Technology Barriers in Diabetes and Industry 4.0. 5 Role of Big Data Analytics in Industrial Revolution 4.0. 6 Big Data Infrastructure and Analytics for Education 4.0. 7 Text Analytics in Big Data Environments. 8 Business Data Analytics: Applications and Research Trends. 9 Role of Big Data Analytics in the Financial Service Sector. 10 Role of Big Data Analytics in the Education Domain. 11 Social Media Analytics. 12 Robust Statistics: Methods and Applications. 13 Big Data in Tribal Healthcare and Biomedical Research. 14 PySpark towards Data Analytics. 15 How to Implement Data Lake for Large Enterprises. 16 A Novel Application of Data Mining Techniques for Satellite Performance Analysis. 17 Big Data Analytics: A Text Mining Perspective and Applications in Biomedicine and Healthcare. Index.
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