Handbook of research on foundations and applications of intelligent business analytics

"This book addresses research issues by investigating into foundations, technologies, and applications of intelligent business analytics, offering theoretical foundations, technologies, methodologies, and applications of intelligent business analytics in an integrated way"--

Bibliographic Details
Other Authors: Sun, Zhaohao, Wu, Zhiyou, 1967-
Format: eBook
Language:English
Published: Hershey, PA Business Science Reference, an imprint of IGI Global, [2022]
Series:Advances in business information systems and analytics (ABISA) book series.
Subjects:
Online Access:EBSCOhost
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245 0 0 |a Handbook of research on foundations and applications of intelligent business analytics  |c Zhaohao Sun, Zhiyou Wu. 
264 1 |a Hershey, PA  |b Business Science Reference, an imprint of IGI Global,  |c [2022] 
300 |a 1 online resource  |b illustrations (some color). 
490 1 |a Advances in business information systems and analytics (ABISA) book series 
504 |a Includes bibliographical references and index. 
505 0 |a Section 1. Foundations of intelligent business analytics. Chapter 1. The elements of intelligent business analytics: principles, techniques, and tools ; Chapter 2. Intelligent business analytics: need, functioning, challenges, and implications ; Chapter 3. Principles of a hybrid intelligence framework for augmented analytics ; Chapter 4. Designing business analytics projects (BAP): a five-step dashboarding cycle -- Section 2. Technologies for intelligent business analytics. Chapter 5. A process-oriented framework for regulating artificial intelligence systems ; Chapter 6. A Survey on hybrid case-based reasoning and deep learning systems for medical data classification ; Chapter 7. Big data analytics for search engine optimization in intelligent business ; Chapter 8. Machine learning and deep learning as new tools for business analytics ; Chapter 9. Semantic image analysis on social networks and data processing: review and future directions -- Section 3. Applications of intelligent business analytics. Chapter 10. Applying intelligent big data analytics in a smart airport business: value, adoption, and challenges ; Chapter 11. Immunize your organization: a people analytics exploration of the change in employee priorities after the COVID-19 lockdown ; Chapter 12. Undergraduate computer science capstone projects: experiences and examples in data science ; Chapter 13. The relationships between users' negative tweets, topic choices, and subjective well-being in Japan ; Chapter 14. A comparison of deep learning models in time series forecasting of web traffic data from Kaggle ; Chapter 15. Weibo analysis on Chinese cultural knowledge for gaming ; Chapter 16. Big data analytics and the discovery of the hidden data treasure from savings banks in Germany. 
520 |a "This book addresses research issues by investigating into foundations, technologies, and applications of intelligent business analytics, offering theoretical foundations, technologies, methodologies, and applications of intelligent business analytics in an integrated way"--  |c Provided by publisher. 
588 |a Description based on online resource; title from digital title page (viewed on March 01, 2022). 
653 0 |a Management  |x Data processing. 
653 0 |a Big data. 
653 0 |a Business planning  |x Statistical methods. 
653 7 |a Big data.  |2 fast  |0 (OCoLC)fst01892965 
653 7 |a Management  |x Data processing.  |2 fast  |0 (OCoLC)fst01007162 
655 0 |a EBSCO eBooks  |9 905790 
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700 1 |a Sun, Zhaohao,  |9 914273 
700 1 |a Wu, Zhiyou,  |d 1967-  |9 914274 
830 0 |a Advances in business information systems and analytics (ABISA) book series.  |9 912842 
856 4 0 |3 EBSCOhost  |u https://www.lib.tsu.ru/limit/2023/EBSCO/3178195.pdf 
856 |y Перейти в каталог НБ ТГУ  |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1014679 
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