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008220720s2023 paua obf 001 0 eng
010 ▼a 2022023423
020 ▼a 9781668459614 ▼q electronic book
020 ▼a 1668459612 ▼q electronic book
020 ▼a 9781668459621 ▼q (electronic bk.)
020 ▼a 1668459620 ▼q (electronic bk.)
020 ▼z 9781668459591 ▼q hardcover
020 ▼z 9781668459607 ▼q paperback
035 ▼a 3562619 ▼b (N$T)
035 ▼a (OCoLC)1344427963
040 ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d YDX ▼d IGIGL ▼d OCLCF ▼d N$T ▼d 248032
042 ▼a pcc
049 ▼a MAIN
05004 ▼a HC79.I55 ▼b H33356 2023
08200 ▼a 658.4/038 ▼2 23/eng/20220914
24500 ▼a Handbook of research on driving socioeconomic development with big data / ▼c Zhaohao Sun.
24630 ▼a Research on driving socioeconomic development with big data
264 1 ▼a Hershey, PA : ▼b Information Science Reference, an imprint of IGI Global, ▼c [2023]
300 ▼a 1 online resource (xxvii, 421 pages) : ▼b illustrations (some color).
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
4901 ▼a Advances in data mining and database management (ADMDM) book series
504 ▼a Includes bibliographical references and index.
5050 ▼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 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.
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.
588 ▼a Description based on online resource; title from digital title page (viewed on March 06, 2023).
590 ▼a Added to collection customer.56279.3
650 0 ▼a Information technology ▼x Economic aspects.
650 0 ▼a Big data ▼x Economic aspects.
650 0 ▼a Sustainable development.
650 0 ▼a Economic development.
650 7 ▼a Economic development. ▼2 fast ▼0 (OCoLC)fst00901785
650 7 ▼a Information technology ▼x Economic aspects. ▼2 fast ▼0 (OCoLC)fst00973097
650 7 ▼a Sustainable development. ▼2 fast ▼0 (OCoLC)fst01139731
655 4 ▼a Electronic books.
7001 ▼a Sun, Zhaohao, ▼e editor.
77608 ▼i Print version: ▼t Handbook of research on driving socioeconomic development with big data ▼d Hershey, PA : Information Science Reference, [2023] ▼z 9781668459591 ▼w (DLC) 2022023422
830 0 ▼a Advances in data mining and database management (ADMDM) book series.
85640 ▼3 EBSCOhost ▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3562619
938 ▼a EBSCOhost ▼b EBSC ▼n 3562619
990 ▼a 관리자
994 ▼a 92 ▼b N$T