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|a 9781484226148
|9 978-1-4842-2614-8
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|a 10.1007/978-1-4842-2614-8
|2 doi
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|a Das, Sibanjan.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Data Science Using Oracle Data Miner and Oracle R Enterprise
|h [electronic resource] :
|b Transform Your Business Systems into an Analytical Powerhouse /
|c by Sibanjan Das.
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| 250 |
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|a 1st ed. 2016.
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|a Berkeley, CA :
|b Apress :
|b Imprint: Apress,
|c 2016.
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| 300 |
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|a XXII, 289 p. 318 illus., 289 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Introduction Chapter 1 : Getting Started with Oracle Advanced Analytics -- Chapter 2 : Installation and Hello World -- Chapter 3: Clustering Methods -- Chapter 4: Association Rules -- Chapter 5: Regression Analysis -- Chapter 6: Classification Techniques -- Chapter 7: Advanced Topics -- Chapter 8: Solution Deployment.
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| 520 |
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|a Automate the predictive analytics process using Oracle Data Miner and Oracle R Enterprise. This book talks about how both these technologies can provide a framework for in-database predictive analytics. You'll see a unified architecture and embedded workflow to automate various analytics steps such as data preprocessing, model creation, and storing final model output to tables. You'll take a deep dive into various statistical models commonly used in businesses and how they can be automated for predictive analytics using various SQL, PLSQL, ORE, ODM, and native R packages. You'll get to know various options available in the ODM workflow for driving automation. Also, you'll get an understanding of various ways to integrate ODM packages, ORE, and native R packages using PLSQL for automating the processes.
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| 650 |
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|a Big data.
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| 650 |
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|a Database management.
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| 650 |
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|a Programming languages (Electronic computers).
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|a Big Data.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I29120
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| 650 |
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|a Database Management.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18024
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| 650 |
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4 |
|a Programming Languages, Compilers, Interpreters.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I14037
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9781484226131
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| 776 |
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|i Printed edition:
|z 9781484226155
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|u https://doi.org/10.1007/978-1-4842-2614-8
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|a ZDB-2-CWD
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| 912 |
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|a ZDB-2-SXPC
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| 950 |
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|a Professional and Applied Computing (SpringerNature-12059)
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| 950 |
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|a Professional and Applied Computing (R0) (SpringerNature-43716)
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