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181113s2017 sz |||||o |||| ||eng |
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|a 9783319538174
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|a com.springer.onix.9783319538174
|b Springer Nature
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|2 23
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|a Guide to big data applications
|c S. Srinivasan, editor
|
264 |
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1 |
|a Cham
|b Springer
|c 2017
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264 |
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4 |
|c ©2018
|
300 |
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|a 1 online resource (565 pages).
|
336 |
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|a text
|2 rdacontent
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337 |
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|a computer
|2 rdamedia
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338 |
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|a online resource
|2 rdacarrier
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490 |
1 |
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|a Studies in big data ;
|v v. 26
|
505 |
0 |
|
|a Introduction.- Big Data Analytics.- Big Data and Social Media.- Use of Cloud Computing for Big Data in Business.- Economic Data Analysis Related to Developing Countries.- High Performance Computing and Big Data.- Big Data Applications in Physics.- Big Data Applications in Chemistry.- Big Data Applications in Mathematics.- Big Data Applications in Biology.- Big Data Applications in Engineering.- Big Data Applications in Meteorology.- Big Data Applications in Environmental Science.- Big Data Applications in Energy.- Security Applications for Big Data.- Big Data Applications in Network Traffic Analysis.- Big Data Applications in Supply Chain Logistics.- Big Data Applications in Healthcare.- Big Data Applications in Cancer Research.- Impact of Big Data in Marketing.- Use of Big Data in Banking.- Using Big Data for Fraud Detection in Accounting.- Using Big Data for Supply Chain Management.- Privacy Implications of Big Data.- Legal Perspectives of Big Data.- Ethical Handling of Big Data in Practical Uses.- Conclusion.
|
650 |
|
0 |
|a Big data.
|
650 |
|
0 |
|a Application software.
|
650 |
|
7 |
|a Application software.
|2 fast
|0 (OCoLC)fst00811706
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650 |
|
7 |
|a Big data.
|2 fast
|0 (OCoLC)fst01892965
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700 |
1 |
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|a Srinivasan, S.
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0 |
|a Studies in big data ;
|v v. 26.
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|a ELD
|b ebook
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|g 20181113
|k com.springer.onix.9783319538174
|q Uk
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|a British Library
|b HMNTS
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SOLR
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1778755988751384576 |
access_facet |
Electronic Resources |
author2 |
Srinivasan, S. |
author2_role |
|
author2_variant |
s s ss |
author_facet |
Srinivasan, S. |
author_sort |
Srinivasan, S. |
building |
Library A |
callnumber-sort |
|
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sid-181-col-blfidbbi |
contents |
Introduction.- Big Data Analytics.- Big Data and Social Media.- Use of Cloud Computing for Big Data in Business.- Economic Data Analysis Related to Developing Countries.- High Performance Computing and Big Data.- Big Data Applications in Physics.- Big Data Applications in Chemistry.- Big Data Applications in Mathematics.- Big Data Applications in Biology.- Big Data Applications in Engineering.- Big Data Applications in Meteorology.- Big Data Applications in Environmental Science.- Big Data Applications in Energy.- Security Applications for Big Data.- Big Data Applications in Network Traffic Analysis.- Big Data Applications in Supply Chain Logistics.- Big Data Applications in Healthcare.- Big Data Applications in Cancer Research.- Impact of Big Data in Marketing.- Use of Big Data in Banking.- Using Big Data for Fraud Detection in Accounting.- Using Big Data for Supply Chain Management.- Privacy Implications of Big Data.- Legal Perspectives of Big Data.- Ethical Handling of Big Data in Practical Uses.- Conclusion. |
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005.7 |
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000 - Computer science, information & general works |
dewey-ones |
005 - Computer programming, programs & data |
dewey-raw |
005.7 |
dewey-search |
005.7 |
dewey-sort |
15.7 |
dewey-tens |
000 - Computer science, knowledge & systems |
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Online |
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Informatik |
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181-019137312 |
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Cham, Springer, 2017 |
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Cham Springer 2017 |
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9783319538174 |
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British Library Catalogue |
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1 online resource (565 pages) |
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2017, ©2018 |
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2017 |
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Springer, |
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019137312 |
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series |
Studies in big data, v. 26 |
series2 |
Studies in big data ; v. 26 |
source_id |
181 |
spelling |
Guide to big data applications S. Srinivasan, editor, Cham Springer 2017, ©2018, 1 online resource (565 pages)., text rdacontent, computer rdamedia, online resource rdacarrier, Studies in big data ; v. 26, Introduction.- Big Data Analytics.- Big Data and Social Media.- Use of Cloud Computing for Big Data in Business.- Economic Data Analysis Related to Developing Countries.- High Performance Computing and Big Data.- Big Data Applications in Physics.- Big Data Applications in Chemistry.- Big Data Applications in Mathematics.- Big Data Applications in Biology.- Big Data Applications in Engineering.- Big Data Applications in Meteorology.- Big Data Applications in Environmental Science.- Big Data Applications in Energy.- Security Applications for Big Data.- Big Data Applications in Network Traffic Analysis.- Big Data Applications in Supply Chain Logistics.- Big Data Applications in Healthcare.- Big Data Applications in Cancer Research.- Impact of Big Data in Marketing.- Use of Big Data in Banking.- Using Big Data for Fraud Detection in Accounting.- Using Big Data for Supply Chain Management.- Privacy Implications of Big Data.- Legal Perspectives of Big Data.- Ethical Handling of Big Data in Practical Uses.- Conclusion., Big data., Application software., Application software. fast (OCoLC)fst00811706, Big data. fast (OCoLC)fst01892965, Srinivasan, S., Studies in big data ; v. 26., ELD ebook, LDL ebooks ONIX to marcxml transformation using Record_Load-eBooks_Legal_Deposit_onix2marc_v2-1.xsl 20181113 com.springer.onix.9783319538174 Uk, British Library HMNTS DRT ELD.DS.357618 |
spellingShingle |
Guide to big data applications, Studies in big data, v. 26, Introduction.- Big Data Analytics.- Big Data and Social Media.- Use of Cloud Computing for Big Data in Business.- Economic Data Analysis Related to Developing Countries.- High Performance Computing and Big Data.- Big Data Applications in Physics.- Big Data Applications in Chemistry.- Big Data Applications in Mathematics.- Big Data Applications in Biology.- Big Data Applications in Engineering.- Big Data Applications in Meteorology.- Big Data Applications in Environmental Science.- Big Data Applications in Energy.- Security Applications for Big Data.- Big Data Applications in Network Traffic Analysis.- Big Data Applications in Supply Chain Logistics.- Big Data Applications in Healthcare.- Big Data Applications in Cancer Research.- Impact of Big Data in Marketing.- Use of Big Data in Banking.- Using Big Data for Fraud Detection in Accounting.- Using Big Data for Supply Chain Management.- Privacy Implications of Big Data.- Legal Perspectives of Big Data.- Ethical Handling of Big Data in Practical Uses.- Conclusion., Big data., Application software. |
title |
Guide to big data applications |
title_auth |
Guide to big data applications |
title_full |
Guide to big data applications S. Srinivasan, editor |
title_fullStr |
Guide to big data applications S. Srinivasan, editor |
title_full_unstemmed |
Guide to big data applications S. Srinivasan, editor |
title_in_hierarchy |
v. 26.. Guide to big data applications (2017) |
title_short |
Guide to big data applications |
title_sort |
guide to big data applications |
topic |
Big data., Application software. |
topic_facet |
Big data., Application software. |