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.
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) :
IGI Global,
[2016]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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. |
| Beschreibung: | PDFs (272 pages) : illustrations. Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781522502944 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
| LEADER | 00000nam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-98-IGB-00145468 | ||
| 003 | IGIG | ||
| 005 | 20160608144951.0 | ||
| 006 | m eo d | ||
| 007 | cr bn |||m|||a | ||
| 008 | 160604s2016 paua fob 001 0 eng d | ||
| 010 | |z 2016006898 | ||
| 020 | |a 9781522502944 |q electronic | ||
| 020 | |z 9781522502937 |q print | ||
| 024 | 7 | |a 10.4018/978-1-5225-0293-7 |2 doi | |
| 035 | |a (CaBNVSL)gtp00565810 | ||
| 035 | |a (OCoLC)951217590 | ||
| 040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
| 050 | 4 | |a QA76.9.B45 |b E58 2016e | |
| 082 | 7 | |a 005.7 |2 23 | |
| 245 | 0 | 0 | |a Enterprise big data engineering, analytics, and management |c Martin Atzmueller, Samia Oussena and Thomas Roth-Berghofer, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) : |b IGI Global, |c [2016] | |
| 300 | |a PDFs (272 pages) : |b illustrations. | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 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. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Database management. | |
| 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. | |
| 700 | 1 | |a Oussena, Samia |d 1962- |e editor. | |
| 700 | 1 | |a Roth-Berghofer, Thomas R., |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2016006898 | |
| 776 | 0 | 8 | |i Print version: |z 1522502939 |z 9781522502937 |w (DLC) 2016006898 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-0293-7 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00145468 |
|---|---|
| _version_ | 1804751453037789184 |
| adam_text | |
| any_adam_object | |
| author2 | Atzmueller, Martin Oussena, Samia 1962- Roth-Berghofer, Thomas R. |
| author2_role | edt edt edt |
| author2_variant | m a ma s o so t r r b trr trrb |
| author_facet | Atzmueller, Martin Oussena, Samia 1962- Roth-Berghofer, Thomas R. |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76.9.B45 E58 2016e |
| callnumber-search | QA76.9.B45 E58 2016e |
| callnumber-sort | QA 276.9 B45 E58 42016E |
| callnumber-subject | QA - Mathematics |
| collection | ZDB-98-IGB |
| 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 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. |
| ctrlnum | (CaBNVSL)gtp00565810 (OCoLC)951217590 |
| dewey-full | 005.7 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.7 |
| dewey-search | 005.7 |
| dewey-sort | 15.7 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03769nam a2200565 i 4500</leader><controlfield tag="001">ZDB-98-IGB-00145468</controlfield><controlfield tag="003">IGIG</controlfield><controlfield tag="005">20160608144951.0</controlfield><controlfield tag="006">m eo d </controlfield><controlfield tag="007">cr bn |||m|||a</controlfield><controlfield tag="008">160604s2016 paua fob 001 0 eng d</controlfield><datafield tag="010" ind1=" " ind2=" "><subfield code="z"> 2016006898</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781522502944</subfield><subfield code="q">electronic</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781522502937</subfield><subfield code="q">print</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/978-1-5225-0293-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CaBNVSL)gtp00565810</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)951217590</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">CaBNVSL</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">CaBNVSL</subfield><subfield code="d">CaBNVSL</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA76.9.B45</subfield><subfield code="b">E58 2016e</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">005.7</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Enterprise big data engineering, analytics, and management </subfield><subfield code="c">Martin Atzmueller, Samia Oussena and Thomas Roth-Berghofer, editors.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) :</subfield><subfield code="b">IGI Global,</subfield><subfield code="c">[2016]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">PDFs (272 pages) :</subfield><subfield code="b">illustrations.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">electronic</subfield><subfield code="2">isbdmedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="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.</subfield></datafield><datafield tag="506" ind1=" " ind2=" "><subfield code="a">Restricted to subscribers or individual electronic text purchasers.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="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.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Also available in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: World Wide Web.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on title screen (IGI Global, viewed 06/04/2016).</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Big data.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data mining.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Database management.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Automatic text summarization (ATS)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Data modeling</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Data preparation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Knowledge discovery</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Predictive analytics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Social network analytics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Strategy development</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Atzmueller, Martin,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Oussena, Samia</subfield><subfield code="d">1962-</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Roth-Berghofer, Thomas R.,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">IGI Global,</subfield><subfield code="e">publisher.</subfield></datafield><datafield tag="776" ind1="0" ind2=" "><subfield code="c">(Original)</subfield><subfield code="w">(DLC)2016006898</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="z">1522502939</subfield><subfield code="z">9781522502937</subfield><subfield code="w">(DLC) 2016006898</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="q">FWS_PDA_IGB</subfield><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-0293-7</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-98-IGB</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| id | ZDB-98-IGB-00145468 |
| illustrated | Illustrated |
| indexdate | 2024-07-16T15:51:48Z |
| institution | BVB |
| isbn | 9781522502944 |
| language | English |
| oclc_num | 951217590 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS |
| owner_facet | DE-863 DE-BY-FWS |
| physical | PDFs (272 pages) : illustrations. Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | IGI Global, |
| record_format | marc |
| spelling | Enterprise big data engineering, analytics, and management Martin Atzmueller, Samia Oussena and Thomas Roth-Berghofer, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) : IGI Global, [2016] PDFs (272 pages) : illustrations. text rdacontent electronic isbdmedia online resource rdacarrier 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. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 06/04/2016). Big data. Data mining. Database management. Automatic text summarization (ATS) Data modeling Data preparation Knowledge discovery Predictive analytics Social network analytics Strategy development Atzmueller, Martin, editor. Oussena, Samia 1962- editor. Roth-Berghofer, Thomas R., editor. IGI Global, publisher. (Original) (DLC)2016006898 Print version: 1522502939 9781522502937 (DLC) 2016006898 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-0293-7 Volltext |
| spellingShingle | Enterprise big data engineering, analytics, and management 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. Big data. Data mining. Database management. |
| title | Enterprise big data engineering, analytics, and management |
| title_auth | Enterprise big data engineering, analytics, and management |
| title_exact_search | Enterprise big data engineering, analytics, and management |
| title_full | Enterprise big data engineering, analytics, and management Martin Atzmueller, Samia Oussena and Thomas Roth-Berghofer, editors. |
| title_fullStr | Enterprise big data engineering, analytics, and management Martin Atzmueller, Samia Oussena and Thomas Roth-Berghofer, editors. |
| title_full_unstemmed | Enterprise big data engineering, analytics, and management Martin Atzmueller, Samia Oussena and Thomas Roth-Berghofer, editors. |
| title_short | Enterprise big data engineering, analytics, and management |
| title_sort | enterprise big data engineering analytics and management |
| topic | Big data. Data mining. Database management. |
| topic_facet | Big data. Data mining. Database management. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-0293-7 |
| work_keys_str_mv | AT atzmuellermartin enterprisebigdataengineeringanalyticsandmanagement AT oussenasamia enterprisebigdataengineeringanalyticsandmanagement AT rothberghoferthomasr enterprisebigdataengineeringanalyticsandmanagement AT igiglobal enterprisebigdataengineeringanalyticsandmanagement |