Data intensive computing applications for big data / / edited by Mamta Mittal [and three others].
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Superior document: | Advances in parallel computing ; Volume 29 |
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Place / Publishing House: | Amsterdam ;, Berlin ;, Washington, DC : : IOS Press,, [2018] 2018 |
Year of Publication: | 2018 |
Language: | English |
Series: | Advances in parallel computing.
Volume 29. |
Online Access: | |
Physical Description: | 1 online resource (618 pages). |
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(MiAaPQ)5005349001 (Au-PeEL)EBL5349001 (CaPaEBR)ebr11545305 (OCoLC)1031468841 |
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Data intensive computing applications for big data / edited by Mamta Mittal [and three others]. Amsterdam ; Berlin ; Washington, DC : IOS Press, [2018] 2018 1 online resource (618 pages). text txt rdacontent computer c rdamedia online resource cr rdacarrier Advances in parallel computing ; Volume 29 Description based on print version record. Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. Big data. Electronic books. Print version: Data intensive computing applications for big data. Amsterdam ; Berlin ; Washington, DC : IOS Press, c2018 618 pages Advances in parallel computing ; Volume 29. 9781614998136 (DLC) 2018930931 ProQuest (Firm) Advances in parallel computing. 0927-5452 ; Volume 29. https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5349001 Click to View |
language |
English |
format |
eBook |
title |
Data intensive computing applications for big data / |
spellingShingle |
Data intensive computing applications for big data / Advances in parallel computing ; |
title_full |
Data intensive computing applications for big data / edited by Mamta Mittal [and three others]. |
title_fullStr |
Data intensive computing applications for big data / edited by Mamta Mittal [and three others]. |
title_full_unstemmed |
Data intensive computing applications for big data / edited by Mamta Mittal [and three others]. |
title_auth |
Data intensive computing applications for big data / |
title_new |
Data intensive computing applications for big data / |
title_sort |
data intensive computing applications for big data / |
series |
Advances in parallel computing ; |
series2 |
Advances in parallel computing ; |
publisher |
IOS Press, |
publishDate |
2018 |
physical |
1 online resource (618 pages). |
isbn |
9781614998143 (e-book) 9781614998136 |
callnumber-first |
Q - Science |
callnumber-subject |
QA - Mathematics |
callnumber-label |
QA76 |
callnumber-sort |
QA 276.9 B45 D383 42018 |
genre |
Electronic books. |
genre_facet |
Electronic books. |
url |
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5349001 |
illustrated |
Not Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
005 - Computer programming, programs & data |
dewey-full |
005.7 |
dewey-sort |
15.7 |
dewey-raw |
005.7 |
dewey-search |
005.7 |
oclc_num |
1031468841 |
status_str |
n |
ids_txt_mv |
(MiAaPQ)5005349001 (Au-PeEL)EBL5349001 (CaPaEBR)ebr11545305 (OCoLC)1031468841 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Advances in parallel computing ; Volume 29 |
hierarchy_sequence |
Volume 29. |
is_hierarchy_title |
Data intensive computing applications for big data / |
container_title |
Advances in parallel computing ; Volume 29 |
_version_ |
1792330985578168320 |
fullrecord |
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