자료유형 | E-Book |
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개인저자 | Sun, Zhaohao, editor. |
서명/저자사항 | Handbook of research on driving socioeconomic development with big data /Zhaohao Sun. |
형태사항 | 1 online resource (xxvii, 421 pages) : illustrations (some color). |
총서사항 | Advances in data mining and database management (ADMDM) book series |
소장본 주기 | Added to collection customer.56279.3 |
ISBN | 9781668459614 1668459612 9781668459621 1668459620 |
서지주기 | Includes bibliographical references and index. |
내용주기 | Section 1. Theories of driving socioeconomic development with big data. Chapter 1. Big data-driven socioeconomic development: an interdisciplinary approach ; Chapter 2. An empirical illustration of how socioeconomic stakeholders can leverage AI and big data ; Chapter 3. Promises and challenges relating to machine learning techniques to predict areas at risk of desertification: a state-of-the-art review ; Chapter 4. Corporate social reasonability roles in artificial intelligence and big data analytics in management -- Section 2. Technologies for driving socioeconomic development with big data. Chapter 5. Enhancing airport business services using big data analytics ; Chapter 6. Authentication-based hybrid approach using RSA for data security in the cloud ; Chapter 7. Vendor-managed inventory and its support technologies: an inside look at supplier and customer relationships ; Chapter 8. A case-based reasoning system-based random forest for classification: a systematic literature review ; Chapter 9. Human resources development for the use of big data analytics in the customer business of German banks ; Chapter 10. A formulaic approach for selecting big data analytics tools for organizational purposes -- Section 3. Applications of driving socioeconomic development with big data. Chapter 11. COVID-19 fake news on Twitter: a statistical and sentimental analysis ; Chapter 12. Technical and resilience aspects of agility supply chain management policies and practices: suggested approaches ; Chapter 13. Social media analytics for non-governmental organizations: a case study of Hong Kong next generation arts ; Chapter 14. Assessment of land administration in Pakistan and the potential role of volunteered geographic information ; Chapter 15. How important is it to be beautiful?: the effect of beauty premium on wages ; Chapter 16. Journal editors can benefit from the archived data analysis: two case studies. |
요약 | "This book explores novel big data theories, algorithms, technologies, methodologies, and applications for driving socio-economic development and sustainable development, highlighting perspectives in terms of theories, technologies, and applications as well as big data and its technologies to explore socio-economic development"-- |
일반주제명 | Information technology -- Economic aspects. Big data -- Economic aspects. Sustainable development. Economic development. Economic development. Information technology -- Economic aspects. Sustainable development. |
언어 | 영어 |
기타형태 저록 | Print version:Handbook of research on driving socioeconomic development with big dataHershey, PA : Information Science Reference, [2023]9781668459591 |
대출바로가기 | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3562619 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
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1 | WE00023611 | 658.4/038 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |