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
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4
Transforming the Data
- About Transformations
- Preparing the Case Table
- Understanding Automatic Data Preparation
- Embedding Transformations in a Model
- Understanding Reverse Transformations
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5
Creating a Model
- Before Creating a Model
- The CREATE_MODEL Procedure
- Specifying Model Settings
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Model Detail Views
- Model Detail Views for Association Rules
- Model Detail View for Frequent Itemsets
- Model Detail View for Transactional Itemsets
- Model Detail View for Transactional Rule
- Model Detail Views for Classification Algorithms
- Model Detail Views for CUR Matrix Decomposition
- Model Detail Views for Decision Tree
- Model Detail Views for Generalized Linear Model
- Model Detail Views for Naive Bayes
- Model Detail Views for Neural Network
- Model Detail Views for Random Forest
- Model Detail View for Support Vector Machine
- Model Detail Views for Clustering Algorithms
- Model Detail Views for Expectation Maximization
- Model Detail Views for k-Means
- Model Detail Views for O-Cluster
- Model Detail Views for Explicit Semantic Analysis
- Model Detail Views for Non-Negative Matrix Factorization
- Model Detail Views for Singular Value Decomposition
- Model Detail View for Minimum Description Length
- Model Detail View for Binning
- Model Detail Views for Global Information
- Model Detail View for Normalization and Missing Value Handling
- Model Detail Views for Exponential Smoothing Models
- 6 Scoring and Deployment
- 7 Mining Unstructured Text
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8
Administrative Tasks for Oracle Data Mining
- Installing and Configuring a Database for Data Mining
- Upgrading or Downgrading Oracle Data Mining
- Exporting and Importing Mining Models
- Controlling Access to Mining Models and Data
- Auditing and Adding Comments to Mining Models
- A The Data Mining Sample Programs
- Index