Atjaunināt sīkdatņu piekrišanu

Big Data-Driven Digital Economy: Artificial and Computational Intelligence 2021 ed. [Hardback]

  • Formāts: Hardback, 472 pages, height x width: 235x155 mm, weight: 893 g, 27 Illustrations, color; 15 Illustrations, black and white; XVI, 472 p. 42 illus., 27 illus. in color., 1 Hardback
  • Sērija : Studies in Computational Intelligence 974
  • Izdošanas datums: 29-May-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030730565
  • ISBN-13: 9783030730567
Citas grāmatas par šo tēmu:
  • Hardback
  • Cena: 180,78 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 212,69 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Formāts: Hardback, 472 pages, height x width: 235x155 mm, weight: 893 g, 27 Illustrations, color; 15 Illustrations, black and white; XVI, 472 p. 42 illus., 27 illus. in color., 1 Hardback
  • Sērija : Studies in Computational Intelligence 974
  • Izdošanas datums: 29-May-2021
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030730565
  • ISBN-13: 9783030730567
Citas grāmatas par šo tēmu:

This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.


Leveraging Big Data to Accelerate Supply Chain Management in Covid-19.-
Mobile Computing Technologies for Enhanced Living Environments: A Literature
Review.- Sentiment Analysis for Modern Standard Dialect Using Genetic Folding
Algorithm.- The Usage of E- Learning among Mass Communication Students.- The
Influence of Relational Capital on the Relationship between Intellectual
Capital and Earnings Per Share in the Digital Economy in the Jordanian
Industrial Sector.- Machine Learning and Earnings Management Detection.-
Artificial Intelligence and IT Governance: A Literature Review.- Blending of
Physicians Leadership and Decision-making Style Within Virtual Platforms for
Improving Service Quality.- Social Capital Improves Virtually Shared Learner
for Enhancing Their Readiness to Learn.- Game-based Learning: Recommendations
Driven from Literature.- Utilizing Blockchain Technology to Manage Functional
Areas in Healthcare Systems.- Fintech and Entrepreneurship Boosting in
Developing Countries: A Comparative Study of India and Egypt.