CAN/CSA-ISO/IEC 13249-6-07 (R2017)

Foreword
Introduction
1 Scope
2 Normative references
3 Terms, definitions, notations and conventions
4 Concepts
5 Data Mining Data Types
6 Association Rules
7 Clustering
8 Classification
9 Regression
10 Status Codes
11 Conformance
Annex A (informative) - Implementation-defined Elements
Annex B (informative) - Implementation-dependent elements
Annex C (informative) - A Scenario Using the Classification
        Technique
Index

Specifies 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.

Preface Standards development within the Information Technology sector is harmonized with international standards development. Through the CSA Technical Committee on Information Technology (TCIT), Canadians serve as the Canadian Advisory Committee (CAC) on ISO/IEC Joint Technical Committee 1 on Information Technology (ISO/IEC JTC1) for the Standards Council of Canada (SCC), the ISO member body for Canada and sponsor of the Canadian National Committee of the IEC. Also, as a member of the International Telecommunication Union (ITU), Canada participates in the International Telegraph and Telephone Consultative Committee (ITU-T). Scope ISO/IEC 13249 defines 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. This part of ISO/IEC 13249: a)introduces the data mining part of ISO/IEC 13249, b)gives the references necessary for this part of ISO/IEC 13249, c)defines notations and conventions specific to this part of ISO/IEC 13249, d)defines concepts specific to this part of ISO/IEC 13249, e)defines data mining user-defined types and their associated routines. The data mining user-defined types defined in this part adhere to the following. A data mining user-defined type is generic to data mining data handling. It addresses the need to store, manage and retrieve information based on elements such as data mining models, data mining settings, and data mining test results. A data mining user-defined type does not redefine the database language SQL directly or in combination with another data mining data type.