INCITS/ISO/IEC 13249-6 : 2007

Foreword
Introduction
1 Scope
2 Normative references
   2.1 International standards
   2.2 Publicly-available specifications
3 Terms, definitions, notations and conventions
   3.1 Terms and definitions
   3.2 Notations
   3.3 Conventions
4 Concepts
   4.1 Data mining techniques
   4.2 Computational phases
   4.3 Mapping on user-defined types
5 Data Mining Data Types
   5.1 DM_LogicalDataSpec Type and Routines
   5.2 DM_MiningData Type and Routines
   5.3 DM_ApplicationData Type and Routines
6 Association Rules
   6.1 DM_RuleSettings Type and Routines
   6.2 DM_RuleBldTask type and Routines
   6.3 DM_RuleModel Type and Routines
   6.4 DM_RuleFilter Type and Routines
   6.5 DM_RuleApplTask Type and Routines
7 Clustering
   7.1 DM_ClusSettings Type and Routines
   7.2 DM_ClusBldTask type and Routines
   7.3 DM_ClusteringModel Type and Routines
   7.4 DM_ClusApplTask Type and Routines
   7.5 DM_ClusResult Type and Routines
8 Classification
   8.1 DM_ClasSettings Type and Routines
   8.2 DM_ClasBldTask Type and Routines
   8.3 DM_ClasModel Type and Routines
   8.4 DM_ClasTestTask Type and Routines
   8.5 DM_ClasTestResult Type and Routines
   8.6 DM_ClasApplTask Type and Routines
   8.7 DM_ClasResult Type and Routines
9 Regression
   9.1 DM_RegSettings Type and Routines
   9.2 DM_RegBldTask type and Routines
   9.3 DM_RegressionModel Type and Routines
   9.4 DM_RegTestTask Type and Routines
   9.5 DM_RegTestResult Type and Routines
   9.6 DM_RegApplTask Type and Routines
   9.7 DM_RegResult Type and Routines
10 Status Codes
11 Conformance
   11.1 Requirements for conformance
   11.2 Claims of conformance
Annex A (informative) Implementation-defined Elements
Annex B (informative) Implementation-dependent elements
Annex C (informative) A Scenario Using the Classification
        Technique
Index

Describes a number of packages of generic data types common to various kinds of data used in multimedia and application areas, to enable that data to be stored and manipulated in an SQL database.