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BOOK ORACLE BUSINESS INTELLIGENCE WITH MACHINE LEARNING
SUMMARY
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Items Found: 73
- Chapter 1: Introduction 1
- Artificial Intelligence and Machine Learning 2
- Overview of Machine Learning 4
- Patterns, Patterns, Patterns 5
- Machine-Learning Vendors 7
- Build or Buy? 7
- Introduction to Machine-Learning Components in OBIEE 8
- Oracle BI and Big Data 8
- R for Oracle BI 9
- Summary 9
- Citations 10
- Chapter 2: Business Intelligence, Big Data, and the Cloud 11
- The Goal of Business Intelligence 11
- Big-Data Analytics 12
- But Why Machine Learning Now? 14
- A Picture Is Worth a Thousand Words 14
- Data Modeling 17
- The Future of Data Preparation with Machine Learning 18
- Oracle Business Intelligence Cloud Service 19
- Oracle Analytics Cloud 19
- Oracle Database 18c 19
- Oracle Mobile Analytics 20
- Summary 20
- Chapter 3: The Oracle R Technologies and R Enterprise 23
- R Technologies for the Enterprise 23
- Open Source R 23
- Oracle’s R Technologies 25
- Using ORE for Machine Learning and Business Intelligence
- with OBIEE: Start-to-Finish Pragmatics 38
- Using the ORD randomForest Algorithm to Predict Wine Origin 38
- Using Embedded R Execution in Oracle DB and the ORE R Interface
- to Predict Wine Origin 41
- Using orerandomForest Instead of R’s randomForest Model 52
- Using Embedded R Execution in Oracle DB with the ORE SQL
- Interface to Predict Wine Origin 57
- Generating PNG Graph Using the ORE SQL Interface and Integrating
- It with OBIEE Dashboard 66
- Integrating the PNG Graph with OBIEE 70
- Creating the OBIEE Analysis and Dashboard with the Uploaded RPD 87
- Machine Learning Trending a Match for EDW 89
- Summary 98
- Chapter 4: Machine Learning with OBIEE 99
- The Marriage of Artificial Intelligence and Business Intelligence 99
- Evolution of OBIEE to Its Current Version 101
- The Birth and History of Machine Learning for OBIEE 103
- OBIEE on the Oracle Cloud as an Optimal Platform 105
- Machine Learning in OBIEE 105
- Summary 106
- Chapter 5: Use Case: Machine Learning in OBIEE 12c 107
- Real-World Use Cases 107
- Predicting Wine Origin: Using a Machine-Learning Classification Model 108
- Using Classified Wine Origin as a Base for Predictive
- Analytics - Extending BI using machine Learning techniques in OBIEE 108
- Using the BI Dashboard for Actionable Decision-Making 108
- Technical and Functional Analysis of the Use Cases 109
- Analysis of Graph Output: Pairs Plot of Wine Origin Prediction
- Using Random Forest 111
- Analysis of Graph Output: Predicting Propensity to Buy Based on
- Wine Source 111
- Analysis at a More Detailed Level 112
- Use Case(s) of Predicting Propensity to Buy 121
- Summary 133
- Chapter 6: Implementing Machine Learning in OBIEE 12c 135
- Business Use Case Problem Description and Solution 135
- Technically Speaking 136
- First Part of Solution 136
- Second Part of Solution 147
- Summary of Logit Model 168
- AUC Curve 173
- Implementing the Solution Using the ORE SQL Interface 174
- Integrating PNG Output with the OBIEE Dashboard 187
- Summary 193
- Index 195
