BS ISO/IEC 5259-1:2024

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Artificial intelligence. Data quality for analytics and machine learning (ML) – Overview, terminology, and examples

Published By	Publication Date	Number of Pages
BSI	2024	28

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Description

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PDF Pages	PDF Title
2	undefined
6	Foreword
7	Introduction
9	1 Scope 2 Normative references 3 Terms and definitions
13	4 Symbols and abbreviated terms 5 Data quality concepts for analytics and machine learning 5.1 Data quality considerations for analytics and machine learning 5.1.1 General 5.1.2 Machine learning and data quality
14	5.1.3 Data characteristics that pose quality challenges for analytics and machine learning 5.1.4 Data sharing, data re-use and data quality for analytics and machine learning 5.2 Data quality concept framework for analytics and machine learning 5.2.1 Overview
15	5.2.2 Data quality management
18	5.2.3 Data quality governance 5.2.4 Data provenance 5.3 Data life cycle for analytics and ML 5.3.1 Overview 5.3.2 Data life cycle model
21	5.3.3 Processes across the multiple stages
23	Annex A (informative) Examples and scenarios
26	Bibliography

Additional information

Status	Definitive
Pages	28
Publication Date	2024-07-08
ISBN	978 0 539 14982 1
Standard Number	BS ISO/IEC 5259-1:2024
Title	Artificial intelligence. Data quality for analytics and machine learning (ML) – Overview, terminology, and examples
Identical National Standard Of	ISO/IEC 5259-1
Descriptors	Artificial intelligence, Learning machines, Data collection, Data formats, Data processing, Data handling, Quality, Analyzing, Data analysis, Terminology
Publisher	BSI
Committee	ART/1
ICS Codes	35.020 - Information technology (IT) in general

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BS ISO/IEC 5259-1:2024

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