Advances in big data analytics : theory, algorithms and practices / Yong Shi.
Shi, Yong, 1956-
2022
QA76.9.B45
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Advances in big data analytics : theory, algorithms and practices / Yong Shi.
Author Shi, Yong, 1956-
ISBN 9789811636073 (electronic bk.)
9811636079 (electronic bk.)
9811636060
9789811636066
DOI https://doi.org/10.1007/978-981-16-3607-3
Publication Details Singapore : Springer, 2022.
Language English
Description 1 online resource
Item Number 10.1007/978-981-16-3607-3 doi
Call Number QA76.9.B45
Dewey Decimal Classification 005.7
Summary 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 and/or data science, multi-criteria optimization for learning, expert and rule-based data analysis, support vector machines for classification, feature selection, data stream analysis, learning analysis, sentiment analysis, link analysis, and evaluation analysis. The book also explores lessons learned in applying big data to business, engineering and healthcare. Lastly, it addresses the advanced topic of intelligence-quotient (IQ) tests for artificial intelligence. Since each aspect mentioned above concerns a specific domain of application, taken together, the algorithms, procedures, analysis and empirical studies presented here offer a general picture of big data developments. Accordingly, the book can not only serve as a textbook for graduates with a fundamental grasp of training in big data analytics, but can also show practitioners how to use the proposed techniques to deal with real-world big data problems.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed January 31, 2022).
Available in Other Form Print version: 9789811636066
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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.

Browse Subjects

Show more subjects...

Statistics

from
to
Export