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