Big data analytics with R : : utilize R to uncover hidden patterns in your big data / / Simon Walkowiak.

Saved in:
Bibliographic Details
Superior document:Community experience distilled
VerfasserIn:
Place / Publishing House:Birmingham : : Packt Publishing,, 2016.
Year of Publication:2016
Language:English
Series:Community experience distilled.
Online Access:
Physical Description:1 online resource (498 pages) :; illustrations.
Notes:Includes index.
Tags: Add Tag
No Tags, Be the first to tag this record!
id 5004620799
ctrlnum (MiAaPQ)5004620799
(Au-PeEL)EBL4620799
(CaPaEBR)ebr11350750
(CaONFJC)MIL944176
(OCoLC)955130608
collection bib_alma
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01602nam a2200409 i 4500</leader><controlfield tag="001">5004620799</controlfield><controlfield tag="003">MiAaPQ</controlfield><controlfield tag="005">20200520144314.0</controlfield><controlfield tag="006">m o d | </controlfield><controlfield tag="007">cr cnu||||||||</controlfield><controlfield tag="008">170307s2016 enka o 001 0 eng|d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781786463722</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)5004620799</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL4620799</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CaPaEBR)ebr11350750</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CaONFJC)MIL944176</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)955130608</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">MiAaPQ</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">MiAaPQ</subfield><subfield code="d">MiAaPQ</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA276.45.R3</subfield><subfield code="b">W35 2016</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Walkowiak, Simon,</subfield><subfield code="e">author.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Big data analytics with R :</subfield><subfield code="b">utilize R to uncover hidden patterns in your big data /</subfield><subfield code="c">Simon Walkowiak.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham :</subfield><subfield code="b">Packt Publishing,</subfield><subfield code="c">2016.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (498 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">computer</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Community experience distilled</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes index.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (ebrary, viewed March 7, 2017).</subfield></datafield><datafield tag="590" ind1=" " ind2=" "><subfield code="a">Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">R (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data mining.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Information visualization.</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="797" ind1="2" ind2=" "><subfield code="a">ProQuest (Firm)</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Community experience distilled.</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=4620799</subfield><subfield code="z">Click to View</subfield></datafield></record></collection>
record_format marc
spelling Walkowiak, Simon, author.
Big data analytics with R : utilize R to uncover hidden patterns in your big data / Simon Walkowiak.
Birmingham : Packt Publishing, 2016.
1 online resource (498 pages) : illustrations.
text rdacontent
computer rdamedia
online resource rdacarrier
Community experience distilled
Includes index.
Description based on online resource; title from PDF title page (ebrary, viewed March 7, 2017).
Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
R (Computer program language)
Data mining.
Information visualization.
Electronic books.
ProQuest (Firm)
Community experience distilled.
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=4620799 Click to View
language English
format eBook
author Walkowiak, Simon,
spellingShingle Walkowiak, Simon,
Big data analytics with R : utilize R to uncover hidden patterns in your big data /
Community experience distilled
author_facet Walkowiak, Simon,
author_variant s w sw
author_role VerfasserIn
author_sort Walkowiak, Simon,
title Big data analytics with R : utilize R to uncover hidden patterns in your big data /
title_sub utilize R to uncover hidden patterns in your big data /
title_full Big data analytics with R : utilize R to uncover hidden patterns in your big data / Simon Walkowiak.
title_fullStr Big data analytics with R : utilize R to uncover hidden patterns in your big data / Simon Walkowiak.
title_full_unstemmed Big data analytics with R : utilize R to uncover hidden patterns in your big data / Simon Walkowiak.
title_auth Big data analytics with R : utilize R to uncover hidden patterns in your big data /
title_new Big data analytics with R :
title_sort big data analytics with r : utilize r to uncover hidden patterns in your big data /
series Community experience distilled
series2 Community experience distilled
publisher Packt Publishing,
publishDate 2016
physical 1 online resource (498 pages) : illustrations.
isbn 9781786463722
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA276
callnumber-sort QA 3276.45 R3 W35 42016
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=4620799
illustrated Illustrated
oclc_num 955130608
work_keys_str_mv AT walkowiaksimon bigdataanalyticswithrutilizertouncoverhiddenpatternsinyourbigdata
status_str n
ids_txt_mv (MiAaPQ)5004620799
(Au-PeEL)EBL4620799
(CaPaEBR)ebr11350750
(CaONFJC)MIL944176
(OCoLC)955130608
hierarchy_parent_title Community experience distilled
is_hierarchy_title Big data analytics with R : utilize R to uncover hidden patterns in your big data /
container_title Community experience distilled
_version_ 1792330920011759616