Handbook of research on foundations and applications of intelligent business analytics
Advances in business information systems and analytics (ABISA) book series./ Zhaohao Sun, Zhiyou Wu.

Wu Zhiyou; Sun Zhaohao

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dc.contributor.author	Sun Zhaohao
dc.contributor.author	Wu Zhiyou
dc.date.accessioned	2024-01-30T21:35:31Z
dc.date.available	2024-01-30T21:35:31Z
dc.date.issued	2022
dc.identifier.citation	Handbook of research on foundations and applications of intelligent business analytics Advances in business information systems and analytics (ABISA) book series. - 1 online resource : - URL: https://libweb.kpfu.ru/ebsco/pdf/3178195.pdf
dc.identifier.isbn	9781799890195
dc.identifier.isbn	1799890198
dc.identifier.isbn	179989018X
dc.identifier.isbn	9781799890188
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/182723
dc.description	Includes bibliographical references and index.
dc.description.abstract	"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"--
dc.description.tableofcontents	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.
dc.language	English
dc.language.iso	en
dc.relation.ispartofseries	Advances in business information systems and analytics (ABISA) book series
dc.relation.ispartofseries	Advances in business information systems and analytics (ABISA) book series.
dc.subject.other	Management -- Data processing.
dc.subject.other	Big data.
dc.subject.other	Business planning -- Statistical methods.
dc.subject.other	Big data.
dc.subject.other	Management -- Data processing.
dc.subject.other	Electronic books.
dc.title	Handbook of research on foundations and applications of intelligent business analytics Advances in business information systems and analytics (ABISA) book series./ Zhaohao Sun, Zhiyou Wu.
dc.type	Book
dc.description.pages	1 online resource :
dc.collection	Электронно-библиотечные системы
dc.source.id	EN05CEBSCO05C858