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Data Science Using Oracle Data Miner and Oracle R Enterprise

Transform Your Business Systems into an Analytical Powerhouse

  • Sibanjan Das

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Sibanjan Das
    Pages 35-74
  3. Sibanjan Das
    Pages 75-115
  4. Sibanjan Das
    Pages 117-145
  5. Sibanjan Das
    Pages 147-187
  6. Sibanjan Das
    Pages 189-237
  7. Sibanjan Das
    Pages 239-265
  8. Sibanjan Das
    Pages 267-283
  9. Back Matter
    Pages 285-289

About this book

Introduction

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.

Keywords

Oracle Oracle Data Miner R Advance Analytics Pl/SQL Clustering Methods Association rules Regression Analysis SVM Fundamentals Naive Bayes Fundamentals Solution Deployment

Authors and affiliations

  • Sibanjan Das
    • 1
  1. 1.PuneIndia

Bibliographic information