國立虎尾科技大學 |

Data Science Using Oracle Data Miner and Oracle R Enterprise = transform your business systems into an analytical powerhouse /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data Science Using Oracle Data Miner and Oracle R Enterprise/ by Sibanjan Das.
其他題名:	transform your business systems into an analytical powerhouse /
作者:	Das, Sibanjan.
出版者:	Berkeley, CA :Apress : : 2016.,
面頁冊數:	xxii, 289 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Data mining. -
電子資源:	http://dx.doi.org/10.1007/978-1-4842-2614-8
ISBN:	9781484226148$q(electronic bk.)

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. - Berkeley, CA :Apress :2016. - xxii, 289 p. :ill., digital ;24 cm.

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$q(electronic bk.)

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

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Data Science Using Oracle Data Miner and Oracle R Enterprise = transform your business systems into an analytical powerhouse /
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