Enterprise big data engineering, analytics, and management /

"This book presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation"--Provided by publisher.

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Bibliographic Details
Corporate Authors: IGI Global
Group Author: Atzmueller, Martin (Editor); Oussena, Samia, 1962- (Editor); Roth-Berghofer, Thomas R. (Editor)
Published: IGI Global,
Publisher Address: Hershey, Pa. :
Publication Dates: [2016]
Literature type: eBook
Language: English
Subjects:
Online Access: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-0293-7
Summary: "This book presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation"--Provided by publisher.
Carrier Form: PDFs (272 pages) : illustrations
Bibliography: Includes bibliographical references and index.
ISBN: 9781522502944
Access: Restricted to subscribers or individual electronic text purchasers.
Index Number: QA76
CLC: TP311
Contents: How big does big data need to be? / Martin Stange, Burkhardt Funk -- Strategic management of data and challenges for organizations: strategy development and business value / Stephen Andrew Roberts, Bruce Laurie -- Data stream mining of event and complex event streams: a survey of existing and future technologies and applications in big data / Chris Wrench [and 4 others] -- Research challenges in big data analytics / Sivamathi Chokkalingam, Vijayarani S. -- Descriptive and predictive analytical methods for big data / Sema A. Kalaian, Rafa M. Kasim, Nabeel R. Kasim -- A framework to analyze enterprise social network data / Janine Viol Hacker, Freimut Bodendorf, Pascal Lorenz -- Big data analytics using local exceptionality detection / Martin Atzmueller, Dennis Mollenhauer, Andreas Schmidt -- Statistical features for extractive automatic text summarization / Yogesh Kumar Meena, Dinesh Gopalani -- Data modeling and knowledge discovery in process industries / Benjamin Kl opper [and 3 others] -- Data preparation for big data analytics: methods and experiences / Andreas Schmidt, Martin Atzmueller, Martin Hollender -- Semantification of large corpora of technical documentation / Sebastian Furth, Joachim Baumeister -- Application of complex event processing techniques to big data related to healthcare: a systematic literature review of case studies / Fehmida Mohamedali, Samia Oussena -- Using big data in collaborative learning / Liz Sokolowski, Samia Oussena.