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].

Strydom Sheryl Kruger; Strydom Moses

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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