| dc.contributor.author | Strydom Sheryl Kruger | |
| dc.contributor.author | Strydom Moses | |
| dc.date.accessioned | 2024-01-29T21:34:19Z | |
| dc.date.available | 2024-01-29T21:34:19Z | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | Big data governance and perspectives in knowledge management Advances in knowledge acquisition, transfer, and management (AKATM) book series. - 1 online resource (xvi, 304 pages) - URL: https://libweb.kpfu.ru/ebsco/pdf/1920668.pdf | |
| dc.identifier.isbn | 9781522570783 | |
| dc.identifier.isbn | 1522570780 | |
| dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/179611 | |
| dc.description | Includes bibliographical references and index. | |
| dc.description.abstract | "This book explores the complex value and governance issues that arise as a consequence of the big data phenomenon and provides examples of best practices found in organizations concerning teaching and learning in academia and the business-industrial environment. It also investigates improving the profitability and success of different enterprises"-- | |
| dc.description.tableofcontents | Chapter 1. Making the most of big data for financial stability purposes -- Chapter 2. Big data and official statistics -- Chapter 3. The big data research ecosystem: an analytical literature study -- Chapter 4. Optimization of aerospace big data including integrated health monitoring with the help of data analytics -- Chapter 5. Classification techniques and data mining tools used in medical bioinformatics -- Chapter 6. Big data and people management: the prospect of HR managers -- Chapter 7. Big data, semantics, and policy-making: how can data dynamics lead to wiser governance? -- Chapter 8. Big data governance in agile and data-driven software development: a market entry case in the educational game industry -- Chapter 9. The link between innovation and prosperity: how to manage knowledge for the individual's and society's benefit from big data governance? -- Chapter 10. Big data for prediction: patent analysis patenting big data for prediction analysis -- Chapter 11. The components of big data and knowledge management will change radically how people collaborate and develop complex research. | |
| dc.language | English | |
| dc.language.iso | en | |
| dc.relation.ispartofseries | Advances in knowledge acquisition, transfer, and management (AKATM) book series | |
| dc.relation.ispartofseries | Advances in knowledge acquisition, transfer, and management (AKATM) book series. | |
| dc.subject.other | Knowledge management. | |
| dc.subject.other | Big data -- Social aspects. | |
| dc.subject.other | Internet governance. | |
| dc.subject.other | BUSINESS & ECONOMICS / Industrial Management | |
| dc.subject.other | BUSINESS & ECONOMICS / Management | |
| dc.subject.other | BUSINESS & ECONOMICS / Management Science | |
| dc.subject.other | BUSINESS & ECONOMICS / Organizational Behavior | |
| dc.subject.other | Electronic books. | |
| dc.title | Big data governance and perspectives in knowledge management Advances in knowledge acquisition, transfer, and management (AKATM) book series./ Sheryl Kruger Strydom and Moses Strydom [editors]. | |
| dc.type | Book | |
| dc.contributor.org | IGI Global, | |
| dc.description.pages | 1 online resource (xvi, 304 pages) | |
| dc.collection | Электронно-библиотечные системы | |
| dc.source.id | EN05CEBSCO05C165 |