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
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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ctrlnum (MiAaPQ)5005349001
(Au-PeEL)EBL5349001
(CaPaEBR)ebr11545305
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collection bib_alma
record_format marc
spelling 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
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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
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