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|a EBLCP
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|c EBLCP
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|a 1369649763
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|a 9788770220958
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|2 23/eng/20231120
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|a UAMI
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100 |
1 |
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|a Agbinya, Johnson I.
|
245 |
1 |
0 |
|a Applied Data Analytics - Principles and Applications
|h [electronic resource].
|
260 |
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|a Aalborg :
|b River Publishers,
|c 2019.
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300 |
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|a 1 online resource (370 p.)
|
500 |
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|a Description based upon print version of record.
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520 |
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|a This text provides some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms, languages and visualization systems. The book, when combined with such platforms, provides a complete set of tools required to handle big data and can lead to fast implementations a.
|
590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
|
655 |
|
0 |
|a Electronic books.
|
758 |
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|i has work:
|a Applied data analytics (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGBFftGVQXf7CkrBQX4tYX
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
776 |
0 |
8 |
|i Print version:
|a Agbinya, Johnson I.
|t Applied Data Analytics - Principles and Applications
|d Aalborg : River Publishers,c2019
|
856 |
4 |
0 |
|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=30251860
|z Texto completo
|
938 |
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|a ProQuest Ebook Central
|b EBLB
|n EBL30251860
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994 |
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|a 92
|b IZTAP
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