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Handbook of research on driving socioeconomic development with big data /

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자료유형E-Book
개인저자Sun, Zhaohao, editor.
서명/저자사항Handbook of research on driving socioeconomic development with big data /Zhaohao Sun.
형태사항1 online resource (xxvii, 421 pages) : illustrations (some color).
총서사항Advances in data mining and database management (ADMDM) book series
소장본 주기Added to collection customer.56279.3
ISBN9781668459614
1668459612
9781668459621
1668459620


서지주기Includes bibliographical references and index.
내용주기Section 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"--
일반주제명Information technology -- Economic aspects.
Big data -- Economic aspects.
Sustainable development.
Economic development.
Economic development.
Information technology -- Economic aspects.
Sustainable development.
언어영어
기타형태 저록Print version:Handbook of research on driving socioeconomic development with big dataHershey, PA : Information Science Reference, [2023]9781668459591
대출바로가기https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3562619

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