Details
Title | Big data and knowledge sharing in virtual organizations |
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Other creators | Gyamfi Albert ; Williams Idongesit |
Collection | Электронные книги зарубежных издательств ; Общая коллекция |
Subjects | Knowledge management. ; Telematics — Management. ; Information technology — Management. ; Big data. ; BUSINESS & ECONOMICS / Industrial Management ; BUSINESS & ECONOMICS / Management ; BUSINESS & ECONOMICS / Management Science ; BUSINESS & ECONOMICS / Organizational Behavior ; EBSCO eBooks |
Document type | Other |
File type | |
Language | English |
Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
Record key | on1081315349 |
Record create date | 1/10/2019 |
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Group | Anonymous |
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Network | Internet |
"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"--.
Network | User group | Action |
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ILC SPbPU Local Network | All |
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Internet | Authorized users SPbPU |
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Internet | Anonymous |
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- Title Page
- Copyright Page
- Book Series
- Dedication
- Editorial Advisory Board
- Table of Contents
- Detailed Table of Contents
- Preface
- Acknowledgment
- Introduction
- 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
- Chapter 6: Generating Big Data
- Chapter 7: Big Data, Privacy, and Healthcare
- Chapter 8: What Are Basketball Fans Saying on Twitter?
- Chapter 9: Developing a Big-Data-Based Model to Study and Analyze Network Traffic
- Chapter 10: Clustering Earthquake Data
- Chapter 11: Data Imputation Methods for Missing Values in the Context of Clustering
- Compilation of References
- About the Contributors
- Index