List of Figures

• 1-1 The Data Mining Process
• 3-1 EXPLAIN in Oracle Spreadsheet Add-In for Predictive Analytics
• 3-2 PREDICT in Oracle Spreadsheet Add-In for Predictive Analytics
• 3-3 PROFILE in Oracle Spreadsheet Add-In for Predictive Analytics
• 4-1 Linear Regression With a Single Predictor
• 4-2 Nonlinear Regression With a SIngle Predictor
• 4-3 Sample Build Data for Regression
• 4-4 Regression Results in Oracle Data Miner
• 4-5 Residual Plot in Oracle Data Miner
• 4-6 Test Metrics for a Regression Model
• 4-7 Predictive Confidence for a Regression Model
• 5-1 Sample Build Data for Classification
• 5-2 Classification Results in Oracle Data Miner
• 5-3 Decision Tree Rules for Classification
• 5-4 Accuracy of a Binary Classification Model
• 5-5 Confusion Matrix for a Binary Classification Model
• 5-6 Sample Lift Chart
• 5-7 Receiver Operating Characteristics Curves
• 5-8 Positive and Negative Predictions
• 5-9 Cost Matrix
• 5-10 Setting Prior Probabilities in Oracle Data Miner
• 5-11 Priors Probability Settings in Oracle Data Miner
• 6-1 Sample Build Data for Anomaly Detection
• 6-2 Outliers in the Build Data
• 7-1 Histogram in Oracle Data Miner
• 7-2 Build Data for Clustering
• 7-3 Cluster Information for the Build Data
• 7-4 Scored Customer Data
• 7-5 A Cluster Rule
• 8-1 Transactional Data
• 8-2 Select Transactional Data
• 8-3 Select Transaction Identifier
• 8-4 Advanced Settings for Association Rules
• 8-5 Sample Association Rules
• 8-6 Filter Rules
• 8-7 Display rules with mouse pad in antecedent
• 9-1 Sample Build Data for Attribute Importance
• 9-2 Attribute Importance in Oracle Data Miner
• 9-3 EXPLAIN in the Spreadsheet Add-In for Predictive Analytics
• 9-4 Sample Build Data for Feature Extraction
• 9-5 Feature Details
• 9-6 Features in Scored Data
• 11-1 Sample Decision Tree Rule
• 11-2 Sample Decision Tree
• 15-1 Conditional Probabilities in Bayes' Theorem
• 20-1 Sample Build Data for Text Mining
• 20-2 Feature 1 Attributes and Feature List 1-8
• 20-3 Feature 1 Attributes and Feature List 11-23
• 20-4 Filter Attributes of a Feature