國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Enterprise big data engineering, ana...

Atzmueller, Martin,

Enterprise big data engineering, analytics, and management

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Enterprise big data engineering, analytics, and managementMartin 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.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-0293-7
ISBN:	9781522502944 (ebk.)

Enterprise big data engineering, analytics, and management
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:

609582
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
LDR:03172nmm a2200409 i 4500 001 510180
003 IGIG
005 19991101164222.0
006 m eo d
007 cr bn |||m|||a
008 171129s2016 paua fob 001 0 eng d
010 $z 2016006898
020 $a 9781522502944 (ebk.)
020 $a 9781522502937 (hbk.)
035 $a (CaBNVSL)gtp00565810
035 $a (OCoLC)951217590
035 $a 0000000117
040 $a CaBNVSL $b eng $e rda $c CaBNVSL $d CaBNVSL
050 0 0 $a QA76.9.B45 $b E58 2016e
082 0 0 $a 005.7 $2 23
245 0 0 $a Enterprise big data engineering, analytics, and management $h [electronic resource] / $c Martin Atzmueller, Samia Oussena and Thomas Roth-Berghofer, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2016]
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 609582
650 0 $a Database management. $3 182428
650 0 $a Data mining. $3 184440
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 777522
700 1 $a Oussena, Samia, $d 1962- $e editor. $3 777523
700 1 $a Roth-Berghofer, Thomas R., $e editor. $3 777524
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-0293-7