Enterprise big data engineering, analytics, and management

Martin Atzmueller (University of Kassel, Germany), Samia Oussena (Samia Oussena University of West London, UK), Thomas Roth-Berghofer (Samia Oussena University of West London, UK), editors

"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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Year of publication:	[2016]
Other Persons:	Atzmüller, Martin (ed.) ; Oussena, Samia (ed.) ; Roth-Berghofer, Thomas R. (ed.)
Publisher:	Hershey, Pennsylvania : IGI Global
Subject:	Big Data \| Big data \| Management-Informationssystem \| Management information system \| Betriebliches Informationssystem \| Business intelligence system \| Data Mining \| Data mining \| Management \| Informationsmanagement \| Information management
Description of contents:	Table of Contents [external.dandelon.com]

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Extent:	1 Online-Ressource (272 Seiten)
Series:	Advances in business information systems and analytics (ABISA) book series
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index Restricted to subscribers or individual electronic text purchasers Mode of access: World Wide Web 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 Klöpper [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 Also available in print.
ISBN:	978-1-5225-0294-4 ; 978-1-5225-0293-7 ; 1-5225-0293-9
Other identifiers:	10.4018/978-1-5225-0293-7 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10011728525