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Big data and knowledge sharing in vi...
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Gyamfi, Albert, (1974-)
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Big data and knowledge sharing in virtual organizations
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Big data and knowledge sharing in virtual organizations/ Albert Gyamfi and Idongesit Williams, editors.
其他作者:
Gyamfi, Albert,
出版者:
Hershey, Pennsylvania :IGI Global, : [2019],
面頁冊數:
1 online resource (xxiii, 313 p.)
內容註:
Chapter 1. Knowledge management and business analytics -- Chapter 2. Analysis of the 5Vs of big data in virtual travel organizations -- Chapter 3. Integrating heterogeneous enterprise data using ontology in supply chain management -- Chapter 4. About digital avatars for control systems using big data and knowledge sharing in virtual industries -- Chapter 5. Rife information pollution (infollution) and virtual organizations in industry 4.0: within reality causes and consequences -- Chapter 6. Generating big data: leveraging on new media for value creation -- Chapter 7. Big data, privacy, and healthcare -- Chapter 8. What are basketball fans saying on twitter?: evidence from euroleague basketball's final four event -- Chapter 9. Developing a big-data-based model to study and analyze network traffic -- Chapter 10. Clustering earthquake data: identifying spatial patterns from non-spatial attributes -- Chapter 11. Data imputation methods for missing values in the context of clustering.
標題:
Knowledge management. -
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7519-1
ISBN:
9781522575207 (e-book)
Big data and knowledge sharing in virtual organizations
Big data and knowledge sharing in virtual organizations
[electronic resource] /Albert Gyamfi and Idongesit Williams, editors. - Hershey, Pennsylvania :IGI Global,[2019] - 1 online resource (xxiii, 313 p.)
Includes bibliographical references and index.
Chapter 1. Knowledge management and business analytics -- Chapter 2. Analysis of the 5Vs of big data in virtual travel organizations -- Chapter 3. Integrating heterogeneous enterprise data using ontology in supply chain management -- Chapter 4. About digital avatars for control systems using big data and knowledge sharing in virtual industries -- Chapter 5. Rife information pollution (infollution) and virtual organizations in industry 4.0: within reality causes and consequences -- Chapter 6. Generating big data: leveraging on new media for value creation -- Chapter 7. Big data, privacy, and healthcare -- Chapter 8. What are basketball fans saying on twitter?: evidence from euroleague basketball's final four event -- Chapter 9. Developing a big-data-based model to study and analyze network traffic -- Chapter 10. Clustering earthquake data: identifying spatial patterns from non-spatial attributes -- Chapter 11. Data imputation methods for missing values in the context of clustering.
Restricted to subscribers or individual electronic text purchasers.
"This book focuses on the influence of big data analytics, artificial intelligence, as well as, tools, methods, and techniques for knowledge sharing processes in virtual organizations. It also examines new organizational forms which relies largely on networking and collaborations through the use of Internet technologies for knowledge flow"--Provided by publisher.
ISBN: 9781522575207 (e-book)Subjects--Topical Terms:
563681
Knowledge management.
LC Class. No.: HD30.2 / .B5443 2019e
Dewey Class. No.: 658.4/038028557
Big data and knowledge sharing in virtual organizations
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Chapter 1. Knowledge management and business analytics -- Chapter 2. Analysis of the 5Vs of big data in virtual travel organizations -- Chapter 3. Integrating heterogeneous enterprise data using ontology in supply chain management -- Chapter 4. About digital avatars for control systems using big data and knowledge sharing in virtual industries -- Chapter 5. Rife information pollution (infollution) and virtual organizations in industry 4.0: within reality causes and consequences -- Chapter 6. Generating big data: leveraging on new media for value creation -- Chapter 7. Big data, privacy, and healthcare -- Chapter 8. What are basketball fans saying on twitter?: evidence from euroleague basketball's final four event -- Chapter 9. Developing a big-data-based model to study and analyze network traffic -- Chapter 10. Clustering earthquake data: identifying spatial patterns from non-spatial attributes -- Chapter 11. Data imputation methods for missing values in the context of clustering.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7519-1
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