Table of Contents
- Title and Copyright Information
- Preface
- Part I Introductions
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Part II Mining Functions
- 3 Regression
- 4 Classification
- 5 Anomaly Detection
- 6 Clustering
- 7 Association
- 8 Feature Selection and Extraction
- 9 Time Series
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Part III Algorithms
- 10 Apriori
- 11 CUR Matrix Decomposition
- 12 Decision Tree
- 13 Expectation Maximization
- 14 Explicit Semantic Analysis
- 15 Exponential Smoothing
- 16 Generalized Linear Models
- 17 k-Means
- 18 Minimum Description Length
- 19 Naive Bayes
- 20 Neural Network
- 21 Non-Negative Matrix Factorization
- 22 O-Cluster
- 23 R Extensibility
- 24 Random Forest
- 25 Singular Value Decomposition
- 26 Support Vector Machines
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Part IV Using the Data Mining API
- 27 Data Mining With SQL
- 28 About the Data Mining API
- 29 Preparing the Data
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30
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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31
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 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 CUR Matrix Decomposition
- Model Detail Views for Explicit Semantic Analysis
- Model Detail Views for Exponential Smoothing Models
- 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
- 32 Scoring and Deployment
- 33 Mining Unstructured Text
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34
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
- 35 The Data Mining Sample Programs
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Part V Oracle Data Mining API Reference
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36
PL/SQL Packages
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DBMS_DATA_MINING
- Using DBMS_DATA_MINING
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DBMS_DATA_MINING — Model Settings
- DBMS_DATA_MINING — Algorithm Names
- DBMS_DATA_MINING — Automatic Data Preparation
- DBMS_DATA_MINING — Mining Function Settings
- DBMS_DATA_MINING — Global Settings
- DBMS_DATA_MINING — Algorithm Settings: ALGO_EXTENSIBLE_LANG
- DBMS_DATA_MINING — Algorithm Settings: CUR Matrix Decomposition
- DBMS_DATA_MINING — Algorithm Settings: Decision Tree
- DBMS_DATA_MINING — Algorithm Settings: Expectation Maximization
- DBMS_DATA_MINING — Algorithm Settings: Explicit Semantic Analysis
- DBMS_DATA_MINING — Algorithm Settings: Exponential Smoothing Models
- DBMS_DATA_MINING — Algorithm Settings: Generalized Linear Models
- DBMS_DATA_MINING — Algorithm Settings: k-Means
- DBMS_DATA_MINING — Algorithm Settings: Naive Bayes
- DBMS_DATA_MINING — Algorithm Settings: Neural Network
- DBMS_DATA_MINING — Algorithm Settings: Non-Negative Matrix Factorization
- DBMS_DATA_MINING — Algorithm Settings: O-Cluster
- DBMS_DATA_MINING — Algorithm Settings: Random Forest
- DBMS_DATA_MINING — Algorithm Constants and Settings: Singular Value Decomposition
- DBMS_DATA_MINING — Algorithm Settings: Support Vector Machine
- DBMS_DATA_MINING — Solver Settings
- DBMS_DATA_MINING Datatypes
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Summary of DBMS_DATA_MINING Subprograms
- ADD_COST_MATRIX Procedure
- ADD_PARTITION Procedure
- ALTER_REVERSE_EXPRESSION Procedure
- APPLY Procedure
- COMPUTE_CONFUSION_MATRIX Procedure
- COMPUTE_CONFUSION_MATRIX_PART Procedure
- COMPUTE_LIFT Procedure
- COMPUTE_LIFT_PART Procedure
- COMPUTE_ROC Procedure
- COMPUTE_ROC_PART Procedure
- CREATE_MODEL Procedure
- CREATE_MODEL2 Procedure
- Create Model Using Registration Information
- DROP_ALGORITHM Procedure
- DROP_PARTITION Procedure
- DROP_MODEL Procedure
- EXPORT_MODEL Procedure
- EXPORT_SERMODEL Procedure
- FETCH_JSON_SCHEMA Procedure
- GET_ASSOCIATION_RULES Function
- GET_FREQUENT_ITEMSETS Function
- GET_MODEL_COST_MATRIX Function
- GET_MODEL_DETAILS_AI Function
- GET_MODEL_DETAILS_EM Function
- GET_MODEL_DETAILS_EM_COMP Function
- GET_MODEL_DETAILS_EM_PROJ Function
- GET_MODEL_DETAILS_GLM Function
- GET_MODEL_DETAILS_GLOBAL Function
- GET_MODEL_DETAILS_KM Function
- GET_MODEL_DETAILS_NB Function
- GET_MODEL_DETAILS_NMF Function
- GET_MODEL_DETAILS_OC Function
- GET_MODEL_SETTINGS Function
- GET_MODEL_SIGNATURE Function
- GET_MODEL_DETAILS_SVD Function
- GET_MODEL_DETAILS_SVM Function
- GET_MODEL_DETAILS_XML Function
- GET_MODEL_TRANSFORMATIONS Function
- GET_TRANSFORM_LIST Procedure
- IMPORT_MODEL Procedure
- IMPORT_SERMODEL Procedure
- JSON Schema for R Extensible Algorithm
- REGISTER_ALGORITHM Procedure
- RANK_APPLY Procedure
- REMOVE_COST_MATRIX Procedure
- RENAME_MODEL Procedure
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DBMS_DATA_MINING_TRANSFORM
- Using DBMS_DATA_MINING_TRANSFORM
- DBMS_DATA_MINING_TRANSFORM Operational Notes
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Summary of DBMS_DATA_MINING_TRANSFORM Subprograms
- CREATE_BIN_CAT Procedure
- CREATE_BIN_NUM Procedure
- CREATE_CLIP Procedure
- CREATE_COL_REM Procedure
- CREATE_MISS_CAT Procedure
- CREATE_MISS_NUM Procedure
- CREATE_NORM_LIN Procedure
- DESCRIBE_STACK Procedure
- GET_EXPRESSION Function
- INSERT_AUTOBIN_NUM_EQWIDTH Procedure
- INSERT_BIN_CAT_FREQ Procedure
- INSERT_BIN_NUM_EQWIDTH Procedure
- INSERT_BIN_NUM_QTILE Procedure
- INSERT_BIN_SUPER Procedure
- INSERT_CLIP_TRIM_TAIL Procedure
- INSERT_CLIP_WINSOR_TAIL Procedure
- INSERT_MISS_CAT_MODE Procedure
- INSERT_MISS_NUM_MEAN Procedure
- INSERT_NORM_LIN_MINMAX Procedure
- INSERT_NORM_LIN_SCALE Procedure
- INSERT_NORM_LIN_ZSCORE Procedure
- SET_EXPRESSION Procedure
- SET_TRANSFORM Procedure
- STACK_BIN_CAT Procedure
- STACK_BIN_NUM Procedure
- STACK_CLIP Procedure
- STACK_COL_REM Procedure
- STACK_MISS_CAT Procedure
- STACK_MISS_NUM Procedure
- STACK_NORM_LIN Procedure
- XFORM_BIN_CAT Procedure
- XFORM_BIN_NUM Procedure
- XFORM_CLIP Procedure
- XFORM_COL_REM Procedure
- XFORM_EXPR_NUM Procedure
- XFORM_EXPR_STR Procedure
- XFORM_MISS_CAT Procedure
- XFORM_MISS_NUM Procedure
- XFORM_NORM_LIN Procedure
- XFORM_STACK Procedure
- DBMS_PREDICTIVE_ANALYTICS
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DBMS_DATA_MINING
- 37 Data Dictionary Views
- 38 SQL Scoring Functions
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36
PL/SQL Packages