Table of Contents
- List of Tables
- Title and Copyright Information
- Preface
- Changes in This Release for Oracle Data Mining User's Guide
- 1 Data Mining With SQL
- 2 About the Data Mining API
- 3 Preparing the Data
-
4
Transforming the Data
- 4.1 About Transformations
- 4.2 Preparing the Case Table
- 4.3 Understanding Automatic Data Preparation
- 4.4 Embedding Transformations in a Model
- 4.5 Understanding Reverse Transformations
-
5
Creating a Model
- 5.1 Before Creating a Model
- 5.2 The CREATE_MODEL Procedure
-
5.3
Specifying Model Settings
- 5.3.1 Specifying Costs
- 5.3.2 Specifying Prior Probabilities
- 5.3.3 Specifying Class Weights
- 5.3.4 Model Settings in the Data Dictionary
- 5.3.5 Specifying Mining Model Settings for R Model
-
5.4
Model Detail Views
- 5.4.1 Model Detail Views for Association Rules
- 5.4.2 Model Detail View for Frequent Itemsets
- 5.4.3 Model Detail View for Transactional Itemsets
- 5.4.4 Model Detail View for Transactional Rule
- 5.4.5 Model Detail Views for Classification Algorithms
- 5.4.6 Model Detail Views for CUR Matrix Decomposition
- 5.4.7 Model Detail Views for Decision Tree
- 5.4.8 Model Detail Views for Generalized Linear Model
- 5.4.9 Model Detail Views for Naive Bayes
- 5.4.10 Model Detail Views for Neural Network
- 5.4.11 Model Detail Views for Random Forest
- 5.4.12 Model Detail View for Support Vector Machine
- 5.4.13 Model Detail Views for Clustering Algorithms
- 5.4.14 Model Detail Views for Expectation Maximization
- 5.4.15 Model Detail Views for k-Means
- 5.4.16 Model Detail Views for O-Cluster
- 5.4.17 Model Detail Views for Explicit Semantic Analysis
- 5.4.18 Model Detail Views for Non-Negative Matrix Factorization
- 5.4.19 Model Detail Views for Singular Value Decomposition
- 5.4.20 Model Detail View for Minimum Description Length
- 5.4.21 Model Detail View for Binning
- 5.4.22 Model Detail Views for Global Information
- 5.4.23 Model Detail View for Normalization and Missing Value Handling
- 5.4.24 Model Detail Views for Exponential Smoothing Models
- 6 Scoring and Deployment
- 7 Mining Unstructured Text
-
8
Administrative Tasks for Oracle Data Mining
- 8.1 Installing and Configuring a Database for Data Mining
- 8.2 Upgrading or Downgrading Oracle Data Mining
- 8.3 Exporting and Importing Mining Models
- 8.4 Controlling Access to Mining Models and Data
- 8.5 Auditing and Adding Comments to Mining Models
- A The Data Mining Sample Programs
- Index