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Enterprise big data engineering, analytics, and management[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	005.7
書名/作者:	Enterprise big data engineering, analytics, and management/ Martin Atzmueller, Samia Oussena and Thomas Roth-Berghofer, editors.
其他作者:	Atzmueller, Martin,
出版者:	Hershey, Pennsylvania : : IGI Global,, [2016]
面頁冊數:	1 online resource (272 p.) : : ill.
標題:	Big data.
標題:	Database management.
標題:	Data mining.
ISBN:	9781522502944 (ebk.)
ISBN:	9781522502937 (hbk.)
書目註:	Includes bibliographical references and index.
內容註:	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.
摘要、提要註:	"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.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-0293-7

Enterprise big data engineering, analytics, and management[electronic resource] /
Enterprise big data engineering, analytics, and management[electronic resource] /Martin Atzmueller, Samia Oussena and Thomas Roth-Berghofer, editors. - Hershey, Pennsylvania :IGI Global,[2016] - 1 online resource (272 p.) :ill.

Includes bibliographical references and index.

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.

Restricted to subscribers or individual electronic text purchasers.

"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.

Mode of access: World Wide Web.

ISBN: 9781522502944 (ebk.)Subjects--Topical Terms:

571002
Big data.
Subjects--Index Terms:

Automatic text summarization (ATS)

LC Class. No.: QA76.9.B45 / E58 2016e

Dewey Class. No.: 005.7

Enterprise big data engineering, analytics, and management[electronic resource] /
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300 $a 1 online resource (272 p.) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a 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.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "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.
530 $a Also available in print.
538 $a Mode of access: World Wide Web.
588 $a Description based on title screen (IGI Global, viewed 06/04/2016).
650 0 $a Big data. $3 571002
650 0 $a Database management. $3 174575
650 0 $a Data mining. $3 337740
653 $a Automatic text summarization (ATS)
653 $a Data modeling
653 $a Data preparation
653 $a Knowledge discovery
653 $a Predictive analytics
653 $a Social network analytics
653 $a Strategy development
700 1 $a Atzmueller, Martin, $e editor. $3 690178
700 1 $a Oussena, Samia, $d 1962- $e editor. $3 690179
700 1 $a Roth-Berghofer, Thomas R., $e editor. $3 690180
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