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http://hdl.handle.net/123456789/576Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Walkowiak, Simon | - |
| dc.date.accessioned | 2026-06-18T07:16:12Z | - |
| dc.date.available | 2026-06-18T07:16:12Z | - |
| dc.date.issued | 2016-07 | - |
| dc.identifier.isbn | 978-1-78646-645-7 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/576 | - |
| dc.description.abstract | We live in times of Internet of Things—a large, world-wide network of interconnected devices, sensors, applications, environments, and interfaces. They generate, exchange, and consume massive amounts of data on a daily basis, and the ability to harness these huge quantities of information can provide us with novel understanding of physical and social phenomena. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Packt Publishing | en_US |
| dc.relation.ispartofseries | 1260716; | - |
| dc.subject | Big Data Analytics with R | en_US |
| dc.title | Big Data Analytics with R | en_US |
| dc.title.alternative | Utilize R to uncover hidden patterns in your Big Data | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | E-Books | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Big Data Analytics with R.pdf | 17.6 MB | Adobe PDF | View/Open |
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