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The quality of self-service data analysis

The quality of self-service data analysis, Total:71 items.

In the international standard classification, The quality of self-service data analysis involves: Applications of information technology, Information technology (IT) in general, Television and radio broadcasting, Industrial automation systems, Quality, Telecommunication systems, Character sets and information coding, Radiocommunications, Power transmission and distribution networks, Electrical engineering in general, Soil quality. Pedology, Electromechanical components for electronic and telecommunications equipment, Test conditions and procedures in general.


International Telecommunication Union (ITU), The quality of self-service data analysis

  • ITU-R BT.1364-1 FRENCH-2005 Format of ancillary data signals carried in digital component studio interfaces Format des signaux de donn閑s auxiliaires achemin閟 par les interfaces de studio de type en composantes num閞iques
  • ITU-T E.427-1993 COLLECTION AND STATISTICAL ANALYSIS OF SPECIAL QUALITY OF SERVICE OBSERVATION DATA FOR MEASUREMENTS OF CUSTOMER DIFFICULTIES IN THE INTERNATIONAL AUTOMATIC SERVICE
  • ITU-R BT.1364-3-2015 Format of ancillary data signals carried in digital component studio interfaces
  • ITU-R BT.1364-2015 Format of ancillary data signals carried in digital component studio interfaces
  • ITU-T E.427-1988 Collection and statistical analysis of special quality of service observation data for measurements of customer difficulties in the international automatic service
  • ITU-T E.427-1989 Collection and Statistical Analysis of Special Quality of Service Observation Data for Measurements of Customer Difficulties in the International Automatic Service - Telephone Network and ISDN - Quality of Service, Network Management and Traffic Engineer
  • ITU-T E.427 FRENCH-1993 COLLECTION AND STATISTICAL ANALYSIS OF SPECIAL QUALITY OF SERVICE OBSERVATION DATA FOR MEASUREMENTS OF CUSTOMER DIFFICULTIES IN THE INTERNATIONAL AUTOMATIC SERVICE
  • ITU-T E.427 SPANISH-1993 COLLECTION AND STATISTICAL ANALYSIS OF SPECIAL QUALITY OF SERVICE OBSERVATION DATA FOR MEASUREMENTS OF CUSTOMER DIFFICULTIES IN THE INTERNATIONAL AUTOMATIC SERVICE
  • ITU-T P.1201 AMD 2-2013 (Pre-Published) Parametric non-intrusive assessment of audiovisual media streaming quality Amendment 2: New Appendix III Use of P.1201 for non-adaptive progressive download type media streaming

Group Standards of the People's Republic of China, The quality of self-service data analysis

  • T/IGRS 0011.5-2021 Quality analysis of internet terminal product based on big data Part Ⅴ: Data analysis
  • T/IGRS 0011.3-2021 Quality analysis of internet terminal product based on big data Part Ⅲ: Data indicator
  • T/IGRS 0011.2-2021 Quality analysis of internet terminal product based on big data Part Ⅱ: Data dictionary
  • T/IGRS 0011.4-2021 Quality analysis of internet terminal product based on big data Part Ⅳ: Platform
  • T/IGRS 0011.6-2021 Quality analysis of internet terminal product based on big data Part Ⅵ: Decision
  • T/IGRS 0011.1-2021 Quality analysis of internet terminal product based on big data Part I: Framework

International Organization for Standardization (ISO), The quality of self-service data analysis

  • ISO/IEC CD 5259-2 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures
  • ISO/IEC CD 5259-4 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework
  • ISO/IEC CD 5259-3 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines
  • ISO/DIS 8000-114:2023 Data quality — Part 114: Master data: Application of ISO/IEC 21778 and ISO 8000-115 to portable data
  • ISO/CD 8000-118:2023 Data quality — Part 118: Application of ISO 8000-115 to natural location identifiers
  • ISO 20616-2:2020 Graphic technology — File format for quality control and metadata — Part 2: Print Quality eXchange (PQX)
  • ISO/IEC CD 5259-1 Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 1: Overview, terminology, and examples
  • ISO/TS 10303-1821:2014 Industrial automation systems and integration - Product data representation and exchange - Part 1821: Apllication module: Externally conditioned data quality criteria
  • ISO 10303-59:2008 Industrial automation systems and integration — Product data representation and exchange — Part 59: Integrated generic resource — Quality of product shape data (First Edition)
  • ISO 10303-59:2014 Industrial automation systems and integration - Product data representation and exchange - Part 59: Integrated generic resource - Quality of product shape data
  • ISO 10303-59:2022 Industrial automation systems and integration — Product data representation and exchange — Part 59: Integrated generic resource: Quality of product shape data
  • ISO 10303-59:2021 Industrial automation systems and integration — Product data representation and exchange — Part 59: Integrated generic resource: Quality of product shape data
  • ISO/TS 10303-1822:2014 Industrial automation systems and integration - Product data representation and exchange - Part 1822: Application module: Externally conditionned data quality inspection result
  • ISO 20616-1:2021 Graphic technology - File format for quality control and metadata - Part 1: Print requirements eXchange (PRX)
  • ISO/DTR 11462-5:2023 Guidelines for implementation of statistical process control (SPC) — Part 5: Quality data exchange format for SPC software
  • ISO/TR 11462-5:2023 Guidelines for implementation of statistical process control (SPC) — Part 5: Quality data exchange format for SPC software
  • ISO 8000-117:2023 Data quality — Part 117: Application of ISO 8000-115 to identifiers in distributed ledgers including blockchains
  • ISO 14256-2:2005 Soil quality - Determination of nitrate, nitrite and ammonium in field-moist soils by extraction with potassium chloride solution - Part 2: Automated method with segmented flow analysis
  • ISO/IEC TR 24244:2022 Automatic identification and data capture techniques — Bar code print quality test specification — Evolution of the grading and measurement of linear symbols in ISO/IEC 15416
  • ISO/IEC 23001-10:2015 Information technology - MPEG systems technologies - Part 10: Carriage of timed metadata metrics of media in ISO base media file format

ITU-R - International Telecommunication Union/ITU Radiocommunication Sector, The quality of self-service data analysis

  • ITU-R BT.1364-2-2010 Format of ancillary data signals carried in digital component studio interfaces

British Standards Institution (BSI), The quality of self-service data analysis

  • BS 5703-3:2003 Guide to data analysis and quality control using cusum techniques - Cusum methods for process/quality control using measured data
  • BS 5703-4:2003 Guide to data analysis and quality control using cusum techniques - Cusum methods for discrete (count/classified) data
  • 23/30452616 DC BS ISO 8000-114. Data quality - Part 114. Master data. Application of ISO/IEC 21778 and ISO 8000- 115 to portable data
  • PD IEC TS 63383:2022 Cybersecurity aspects of devices used for power metering and monitoring, power quality monitoring, data collection and analysis
  • BS ISO 8000-117:2023 Data quality - Application of ISO 8000-115 to identifiers in distributed ledgers including blockchains
  • 19/30354821 DC BS ISO 20616-2. Graphic technology. File format for quality control and metadata. Part 2. Print quality exchange (PQX)
  • BS 5703-2:2003 Guide to data analysis and quality control using cusum techniques - Introduction to decision-making using cusum techniques
  • BS 5703-1:2003 Guide to data analysis and quality control using cusum techniques - Uses and value of cusum charts in business, industry, commerce and public service
  • PD ISO/IEC TR 24244:2022 Automatic identification and data capture techniques. Bar code print quality test specification. Evolution of the grading and measurement of linear symbols in ISO/IEC 15416
  • 22/30426823 DC BS ISO 8000-117. Data quality. Part 117. Application of ISO 8000-115 to identifiers in distributed ledgers including blockchains
  • 20/30377022 DC BS ISO 20616-1. Graphic technology. File format for quality control and metadata - Part 1. Print Requirements eXchange (PRX)

GOSTR, The quality of self-service data analysis

  • GOST R 57302-2016 Information technology. Automatic identification and data capture techniques. Direct parts marking. Data Matrix quality requirements for parts intrusive marking

International Electrotechnical Commission (IEC), The quality of self-service data analysis

  • IEC TS 63383:2022 Cybersecurity aspects of devices used for power metering and monitoring, power quality monitoring, data collection and analysis

国家市场监督管理总局、中国国家标准化管理委员会, The quality of self-service data analysis

  • GB/T 17564.6-2021 Standard data element types with associated classification scheme for electric components—Part 6: IEC Common Data Dictionary (IEC CDD) quanlity guidelines

American National Standards Institute (ANSI), The quality of self-service data analysis

  • ANSI/ASQC B1-1985 Guide for Quality Control Charts, Method of Analyzing Data, and Controlling Quality during Production / Note: reaffirmation of ANSI/ASQC B1, B2, B3-1985 * Approved 1996-03-08.
  • ANSI/ASQC B2-1985 Guide for Quality Control Charts, Method of Analyzing Data, and Controlling Quality during Production / Note: reaffirmation of ANSI/ASQC B1, B2, B3-1985 * Approved 1996-03-08.
  • ANSI/ASQC B3-1985 Guide for Quality Control Charts, Method of Analyzing Data, and Controlling Quality during Production / Note: reaffirmation of ANSI/ASQC B1, B2, B3-1985 * Approved 1996-03-08.

IX-UIC, The quality of self-service data analysis

  • UIC OR 450-2-2007 Exchange of data concerning the running of international passenger and freight trains between Infrastructure Managers for the purpose of quality analysis

RU-GOST R, The quality of self-service data analysis

  • GOST R ISO/IEC 19785-1-2008 Automatic identification. Biometrics. Common biometric exchange formats framework. Part 1. Data element specification

CENELEC - European Committee for Electrotechnical Standardization, The quality of self-service data analysis

  • EN 61076-5:2001 Connectors for Use in d.c.@ Low-Frequency Analogue and Digital High-Speed Data Applications Part 5: In-Line Sockets with Assessed Quality - Sectional Specification

Association Francaise de Normalisation, The quality of self-service data analysis

  • NF X31-423-2*NF ISO 14256-2:2007 Soil quality - Determination of nitrate, nitrite and ammonium in field-moist soils by extraction with potassium chloride solution - Part 2 : automated method with segmented flow analysis.

German Institute for Standardization, The quality of self-service data analysis

  • DIN EN 61076-5:2002-04 Connectors for use in d.c., low frequency analogue and digital high-speed data applications - Part 5: In-line sockets with assessed quality; Sectional specification (IEC 61076-5:2001); German version EN 61076-5:2001
  • DIN ISO 14256-2:2006 Soil quality - Determination of nitrate, nitrite and ammonium in field-moist soils by extraction with potassium chloride solution - Part 2: Automated method with segmented flow analysis (ISO 14256-2:2005) English version of DIN ISO 14256-2:2006-07

ES-UNE, The quality of self-service data analysis

  • UNE-EN 61076-5:2001 Connectors for use in d.c., low-frequency analogue and digital high-speed data applications -- Part 5: In-line sockets with assessed quality - Sectional Specification (Endorsed by AENOR in March of 2002.)

Korean Agency for Technology and Standards (KATS), The quality of self-service data analysis

  • KS I ISO 14256-2:2006 Soil quality-Determination of nitrate, nitrite and ammonium in field-moist soils by extraction with potassium chloride solution-Part 2:Automated method with segmented flow analysis
  • KS I ISO 14256-2:2016 Soil quality-Determination of nitrate, nitrite and ammonium in field-moist soils by extraction with potassium chloride solution-Part 2:Automated method with segmented flow analysis

General Administration of Quality Supervision, Inspection and Quarantine of the People‘s Republic of China, The quality of self-service data analysis

  • GB/T 18501.1-2001 Connectors with assessed quality,for use in d.c.,low frequency analogue and in digital high speed data applications--Part 1: Generic specification
  • GB/T 18501.2-2001 Connectors for use in d.c.,low-frequency analogue and digital high speed data spplications--Part 2: Circular connectors with assessed quality--Sectional specification

American Society for Testing and Materials (ASTM), The quality of self-service data analysis

  • ASTM D6624-06 Standard Practice for Determining a Flow-Proportioned Average Property Value (FPAPV) for a Collected Batch of Process Stream Material Using Stream Analyzer Data
  • ASTM D6624-01 Standard Practice for Determining a Flow-Proportioned Average Property Value (FPAPV) for a Collected Batch of Process Stream Material Using Stream Analyzer Data
  • ASTM D6624-12 Standard Practice for Determining a Flow-Proportioned Average Property Value (FPAPV) for a Collected Batch of Process Stream Material Using Stream Analyzer Data
  • ASTM D6624-14 Standard Practice for Determining a Flow-Proportioned Average Property Value &40;FPAPV&41; for a Collected Batch of Process Stream Material Using Stream Analyzer Data

IECQ - IEC: Quality Assessment System for Electronic Components, The quality of self-service data analysis

  • QC 480400-2001 Connectors for Use in D.C.@ Low Frequency Analogue and Digital High-Speed Data Applications - Part 5: In-Line Sockets with Assessed Quality - Sectional Specification (IEC 61076-5:2001)

Professional Standard - Electron, The quality of self-service data analysis

  • SJ/T 11306-2005 Connectors with assessed quality for DC/low frequency analogue and digital high speed data applications Part 4: Sectional specifications for printed board connectors

European Telecommunications Standards Institute (ETSI), The quality of self-service data analysis

  • ETSI EN 301 842-2-2005 Electromagnetic compatibility and Radio spectrum Matters (ERM); VHF air-ground Data Link (VDL) Mode 4 radio equipment; Technical characteristics and methods of measurement for ground-based equipment; Part 2: Data link layer V1.3.1




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