Handbook of research on applied data science and artificial intelligence in business and industry

"This book provides an overview of the concepts, tools and techniques behind the increasing field of Data Science and Artificial Intelligence, applied to business and industries"--

Bibliographic Details
Other Authors: Chkoniya, Valentina, 1977-
Format: eBook
Language:English
Published: Hershey, PA Engineering Science Reference, an imprint of IGI Global, [2021]
Series:Advances in business information systems and analytics (ABISA) book series.
Subjects:
Online Access:EBSCOhost
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082 0 0 |a 338.00285/57  |2 23 
049 |a MAIN 
245 0 0 |a Handbook of research on applied data science and artificial intelligence in business and industry  |c Valentina Chkoniya. 
264 1 |a Hershey, PA  |b Engineering Science Reference, an imprint of IGI Global,  |c [2021] 
300 |a 1 online resource  |b color illustrations. 
490 1 |a Advances in business information systems and analytics (ABISA) book series 
504 |a Includes bibliographical references and index. 
520 |a "This book provides an overview of the concepts, tools and techniques behind the increasing field of Data Science and Artificial Intelligence, applied to business and industries"--  |c Provided by publisher. 
588 |a Description based on online resource; title from digital title page (viewed on February 10, 2022). 
505 0 |a Title Page -- Copyright Page -- Book Series -- Editorial Advisory Board -- List of Contributors -- Table of Contents -- Detailed Table of Contents -- Preface -- Acknowledgment -- Section 1: Strategy -- Chapter 1: Port Dada Integration -- Chapter 2: A Software Engineering Perspective on Building Production-Ready Machine Learning Systems -- Chapter 3: Multivariate Sustainability Profile of Global Fortune 500 Companies Using GRI-G4 Database -- Chapter 4: Examining the Evolution of E-Government Development of Nations Through Machine Learning Techniques 
505 8 |a Chapter 5: Artificial Intelligence as Driver for SME Competitiveness -- Chapter 6: Big Data Is Decision Science -- Chapter 7: The Future of Advertising -- Section 2: Action -- Chapter 8: Retail Customer Native Baskets Creation -- Chapter 9: Studying Customer Experience and Retention Using Applied Data Science and Artificial Intelligence -- Chapter 10: Using Intelligent Text Analysis of Online Reviews to Determine the Main Factors of Restaurant Value Propositions -- Chapter 11: Time Series Forecasting in Retail Sales Using LSTM and Prophet 
505 8 |a Chapter 12: General Model for Metrics Calculation and Behavior Prediction in the Manufacturing Industry -- Chapter 13: AI Meaning and Applications in the Consumer Sector of Retailing, Hospitality, and Tourism -- Chapter 14: Key Factors in the Process of Acceptance and Implementation of Artificial Intelligence in the Hotel Sector -- Chapter 15: Peruvian Consumer Responses to the Use of Technologies in the Context of COVID-19 -- Chapter 16: Artificial Intelligence in Marketing -- Chapter 17: When Luxury Vinous-Concept Hotel Meets Premium Wine Brands 
505 8 |a Chapter 18: Data Analysis in the Shipping Industry -- Chapter 19: Question Answering Chatbot Using Memory Networks -- Chapter 20: Comparison of Parametric and Non-Parametric Methods to Analyse the Data Gathered by a Likert-Type Scale -- Chapter 21: Latent Fingerprint Enhancement Based on EDTV Model -- Chapter 22: The Business, Societal, and Enterprise Architecture Framework -- Chapter 23: The Effect of Population, Public Investments, and Economic Growth on Regional Renewable Energy Consumption in Turkey -- Section 3: Reflection -- Chapter 24: Education for the Digital Industry 
505 8 |a Chapter 25: The Contribution of Data Science Applied to Customer Relationship Management -- Chapter 26: Data Science in Economics and Business -- Chapter 27: A Historical Review of Immersive Storytelling Technologies -- Chapter 28: Artificial Intelligences Are Subsets of Human Beings, Mainly in Fictions and Films -- Chapter 29: Towards Ethical Neuromarketing 2.0 Based on Artificial Intelligence -- Chapter 30: Responsible Machine Learning for Ethical Artificial Intelligence in Business and Industry -- Compilation of References -- About the Contributors -- Index 
653 0 |a Business  |x Technological innovations. 
653 0 |a Databases. 
653 0 |a Artificial intelligence. 
653 2 |a Artificial Intelligence 
653 6 |a Affaires  |x Innovations. 
653 6 |a Intelligence artificielle. 
653 7 |a artificial intelligence.  |2 aat 
653 7 |a Artificial intelligence.  |2 fast  |0 (OCoLC)fst00817247 
653 7 |a Business  |x Technological innovations.  |2 fast  |0 (OCoLC)fst00842394 
653 7 |a Databases.  |2 fast  |0 (OCoLC)fst00888065 
655 0 |a EBSCO eBooks  |9 905790 
655 4 |a Electronic books.  |9 899821 
700 1 |a Chkoniya, Valentina,  |d 1977-  |9 913585 
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/2972585.pdf 
856 |y Перейти в каталог НБ ТГУ  |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1014577 
910 |a EBSCO eBooks 
999 |c 1014577  |d 1014577 
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