Advances in Big Data Analytics [electronic resource] Theory, Algorithms and Practices / by Yong Shi.

Today, big data affects countless aspects of our daily lives. This book provides a comprehensive and cutting-edge study on big data analytics, based on the research findings and applications developed by the author and his colleagues in related areas. It addresses the concepts of big data analytics...

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Bibliographic Details
Main Author:	Shi, Yong (Author)
Corporate Author:	SpringerLink (Online service)
Language:	English
Published:	Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
Edition:	1st ed. 2022.
Subjects:	Artificial intelligence—Data processing. Big data. Data mining. Computer science.
Online Access:	Springer Computer Science eBooks 2022 English/International: 2022 (Springer Link)
Variant Title:	Advances in Big Data Analytics : Theory, Algorithms and Practices
Format:	Electronic eBook

Contents:

Part One: Concept and Theoretical Foundation
Chapter 1: Big Data and Big Data Analytics
Chapter 2: Multiple Criteria Optimization Classification
Chapter 3: Support Vector Machine Classification
Part Two: Functional Analysis
Chapter 4: Feature Selection
Chapter 5: Data Stream Analysis
Chapter 6: Learning Analysis
Chapter 7: Sentiment Analysis
Chapter 8: Link Analysis
Chapter 9: Evaluation Analysis
Part Three: Application and Future Analysis
Chapter 10: Business and Engineering Applications
Chapter 11: Healthcare Applications
Chapter 12: Artificial Intelligence IQ Test
Chapter 13: Conclusions.