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Handbook of research on driving socioeconomic development with big data

Record Type:	Electronic resources : Monograph/item
Title/Author:	Handbook of research on driving socioeconomic development with big data/ Zhaohao Sun.
remainder title:	Research on driving socioeconomic development with big data
other author:	Sun, Zhaohao.
Published:	Hershey, Pennsylvania :IGI Global, : 2023.,
Description:	1 online resource (421 p.) :ill. (some color)
[NT 15003449]:	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 canleverage 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 hybridapproach 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 fororganizational 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 agilitysupply 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 administrationin 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.
Subject:	Information technology - Economic aspects. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-5959-1
ISBN:	9781668459614 (electronic bk.)

Handbook of research on driving socioeconomic development with big data
Handbook of research on driving socioeconomic development with big data[electronic resource] /Research on driving socioeconomic development with big dataZhaohao Sun. - Hershey, Pennsylvania :IGI Global,2023. - 1 online resource (421 p.) :ill. (some color) - Advances in data mining and database management (ADMDM) book series. - Advances in data mining and database management (ADMDM) book series..

Includes bibliographical references and index.

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 canleverage 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 hybridapproach 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 fororganizational 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 agilitysupply 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 administrationin 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.

"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"--

ISBN: 9781668459614 (electronic bk.)Subjects--Topical Terms:

543358
Information technology
--Economic aspects.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: HC79.I55 / H33356 2023e

Dewey Class. No.: 658.4/038

Handbook of research on driving socioeconomic development with big data
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260 $a Hershey, Pennsylvania : $b IGI Global, $c 2023.
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505 0 $a 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 canleverage 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 hybridapproach 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 fororganizational 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 agilitysupply 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 administrationin 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.
520 $a "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"-- $c Provided by publisher.
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650 0 $a Big data $x Economic aspects. $3 3489634
650 0 $a Sustainable development. $3 528388
650 0 $a Economic development. $3 527912
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700 1 $a Sun, Zhaohao. $3 3675505
710 2 $a IGI Global. $3 1361470
830 0 $a Advances in data mining and database management (ADMDM) book series. $3 3675506
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-5959-1