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Data Science Using Oracle Data Miner and Oracle R Enterprise = Transform Your Business Systems into an Analytical Powerhouse /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Data Science Using Oracle Data Miner and Oracle R Enterprise/ by Sibanjan Das.
Reminder of title:	Transform Your Business Systems into an Analytical Powerhouse /
Author:	Das, Sibanjan.
Description:	XXII, 289 p. 318 illus., 289 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Big data. -
Online resource:	https://doi.org/10.1007/978-1-4842-2614-8
ISBN:	9781484226148

Data Science Using Oracle Data Miner and Oracle R Enterprise = Transform Your Business Systems into an Analytical Powerhouse /
Das, Sibanjan.

Data Science Using Oracle Data Miner and Oracle R EnterpriseTransform Your Business Systems into an Analytical Powerhouse /[electronic resource] :by Sibanjan Das. - 1st ed. 2016. - XXII, 289 p. 318 illus., 289 illus. in color.online resource.

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.

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.

ISBN: 9781484226148

Standard No.: 10.1007/978-1-4842-2614-8doiSubjects--Topical Terms:

981821
Big data.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Data Science Using Oracle Data Miner and Oracle R Enterprise = Transform Your Business Systems into an Analytical Powerhouse /
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