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Detect data anomalies

Detect data anomalies, Total:83 items.

In the international standard classification, Detect data anomalies involves: Petroleum products in general, Quality, Information sciences. Publishing, Audio, video and audiovisual engineering, Telecommunication systems, Applications of information technology, Medical equipment, Products of the textile industry, Mathematics, Medical sciences and health care facilities in general, Software development and system documentation, Geology. Meteorology. Hydrology, Non-destructive testing, Data storage devices, Languages used in information technology, Microbiology, Metrology and measurement in general, Telecommunication terminal equipment, Protection of and in buildings, Character sets and information coding, Farming and forestry, Laboratory medicine, Road engineering, Vocabularies.

Group Standards of the People's Republic of China, Detect data anomalies

• T/DYZL 032-2023 Dongying City Product Oil Quality Traceability Management Platform Inspection and Detection Abnormal Data Analysis and Disposal Specification
• T/SXCAA 022-2022 Inspection and Testing Data Protection Guidelines
• T/CADPA 6-2019 Specification for ISLI data quality inspection
• T/SZAS 48-2022 Dataset of genetic test for deafness in newborns
• T/QGCML 900-2023 Pipeline inspection data management platform
• T/SZAS 47-2022 Data set of genetic test for thalassemia

British Standards Institution (BSI), Detect data anomalies

• BS ISO 16269-4:2010 Statistical interpretation of data. Detection and treatment of outliers
• BS ISO 16269-8:2004 Statistical interpretation of data - Determination of prediction intervals
• BS 4505-6:1976 Digital data transmission - Complements to the basic mode control procedures; recovery, abort and interrupt, multiple station selection
• BS EN ISO 10705-1:2001 Water quality. Detection and enumeration of bacteriophages. Detection and enumeration of bacteriophages. Enumeration of F-specific RNA bacteriophages
• BS 7941-1:1999 Methods for measuring the skid resistance of pavement surfaces - Side-way force coefficient routine investigation machine
• BS IEC 62525:2007 Standard test interface language (STIL) for digital test vector data

International Organization for Standardization (ISO), Detect data anomalies

• ISO 16269-4:2010 Statistical interpretation of data - Part 4: Detection and treatment of outliers
• ISO 16269-8:2004 Statistical interpretation of data - Part 8: Determination of prediction intervals

Danish Standards Foundation, Detect data anomalies

• DS/ISO 16269-4:2010 Statistical interpretation of data - Part 4: Detection and treatment of outliers

AENOR, Detect data anomalies

• UNE-ISO 16269-4:2015 Statistical interpretation of data -- Part 4: Detection and treatment of outliers

RU-GOST R, Detect data anomalies

• GOST R ISO 16269-4-2017 Statistical methods. Statistical data presentation. Part 4. Detection and treatment of outliers

Professional Standard - Geology, Detect data anomalies

• DZ/T 0129-1994 Geophysical and geochemical prospecting anomaly data file format

Aeronautical Radio Inc., Detect data anomalies

• ARINC 640 ITEM 7.0 Process to Detect and Correct Anomalies

Professional Standard - Press and Publication, Detect data anomalies

• CY/T 63-2009 General parameters of Compact Disc Read-Only Memory (CD-ROM)
• CY/T 239-2021 ISLI Data Quality Inspection
• CY/T 38-2007 Parameters of routine test for recordable compact discs CD-R
• CY/T 66-2009 General parameters of Video Digital Versatile Disc (DVD-Video)
• CY/T 67-2009 General parameters of Digital Versatile Disc Read Only Memory (DVD-ROM)
• CY/T 86-2012 Routine detection parameters for read-only disc templates
• CY/T 86-2019 Routine detection parameters for read-only disc templates
• CY/T 65-2009 General parameters of Video Compact Disc (VCD)
• CY/T 64-2009 General parameters of Compact Disc Digital Audio (CD-DA)
• CY/T 108-2014 General parameters of Blu-Ray Disc Read-Only Memory (BD)
• CY/T 41-2007 Parameters of routine test for recordable compact discs DVD-R/DVD+R
• CY/T 207-2019 Recordable Blu-ray Disc (BD-R) routine detection parameters
• CY/T 143-2015 Database Publication Quality Inspection Method

American National Standards Institute （ANSI), Detect data anomalies

• ANSI/AIAA S-102.2.11-2008 Performance-Based Anomaly Detection and Response Analysis

Professional Standard - Post and Telecommunication, Detect data anomalies

• YD/T 4246-2023 Technical Requirements and Test Methods for Abnormal Behavior Monitoring of Telecommunication Network and Internet Data
• YD/T 2668-2013 Technical requirements for detection and control of abnormal traffic in telecommunication networks
• YD/T 875-1996 Test method of asynchronous terminals access to public packet switching data

American Institute of Aeronautics and Astronautics (AIAA), Detect data anomalies

• AIAA S-102.2.11-2009 Performance-Based Anomaly Detection and Response Analysis

AIAA - American Institute of Aeronautics and Astronautics, Detect data anomalies

• S-102.2.11-2009 Performance-Based Anomaly Detection and Response Analysis

General Administration of Quality Supervision, Inspection and Quarantine of the People‘s Republic of China, Detect data anomalies

• GB/T 8056-1987 Statistical interpretation of data--Detection and handling of outlying observations in exponential sample
• GB/T 4883-1985 Statistical interpretation of data--Detection and handling of outlying observations in normal sample
• GB/T 25759-2010 Non-destructive testing.Guide for data fields for computerized transfer of digital ultrasonic examination data
• GB/T 6380-1986 Statistical interpretation of data--Detection and handling of outlying observations in the sample of type I extreme value distribution

SE-SIS, Detect data anomalies

• SIS SS 01 42 14-1979 Statistical interpretation of data — Power of tests relating to means and variances

Professional Standard - Public Safety Standards, Detect data anomalies

• GA 214.19-2005 Specification for resident population management information-Part 19: Code of data exception for resident population data exchange packages
• GA 214.20-2005 Specification for resident population management information-Part 20: Code of package exception for resident population data exchange packages
• GA/T 1713-2020 Information Security Technology Abnormal Traffic Detection and Cleaning Product Safety Technical Requirements
• GA/T 1714-2020 Information Security Technology Abnormal Traffic Detection and Cleaning Product Safety Technical Requirements

中华人民共和国国家质量监督检验检疫总局、中国国家标准化管理委员会, Detect data anomalies

• GB/T 35533-2017 General technical requirement for chromosomal abnormality detection microarray
• GB/T 33663-2017 General testing parameters of read-only optical disc publication(CD、DVD)

Korean Agency for Technology and Standards (KATS), Detect data anomalies

• KS K 0750-2006 Test method for the detection and assessment of photochromism
• KS Q ISO 16269-8:2009 Statistical interpretation of data-Part 8:Determination of prediction intervals

ASHRAE - American Society of Heating@ Refrigerating and Air-Conditioning Engineers@ Inc., Detect data anomalies

• ASHRAE OR-16-C079-2016 Chilled Water System Abnormality Detection with Machine Learning Algorithms

RO-ASRO, Detect data anomalies

• STAS 7122/6-1987 STATI STICAL INTERPRETATION OF DATA Determination of a statistical tole- rance interval for a normal distribu- tion

Professional Standard - Hygiene , Detect data anomalies

• WS 375.18-2016 Basic dataset of disease control.Part 18:Adverse event following immunization report

HU-MSZT, Detect data anomalies

• MSZ 19761-1966
• MSZ 4687-1958
• MI 4732-1986

中国气象局, Detect data anomalies

• QX/T 628-2021 Conventional high-altitude weather observation data processing methods

Association Francaise de Normalisation, Detect data anomalies

• NF Z69-202:1982
• NF X06-040-8*NF ISO 16269-8:2004 Statistical interpretation of data - Part 8 : determination of prediction interval

Anhui Provincial Standard of the People's Republic of China, Detect data anomalies

• DB34/T 3433.1-2019 Metrology testing data information part 1: data items
• DB3418/T 021-2022 Specifications for data management and sharing of inspection and testing institutions

国家市场监督管理总局、中国国家标准化管理委员会, Detect data anomalies

• GB/T 41262-2022 Technical requirements for cyber-physical fusion anomaly detection specification of industrial control system

BE-NBN, Detect data anomalies

• NBN X 03-006-1985 Statistical interpretation of data - Power of tests relating to means and varianc

International Telecommunication Union (ITU), Detect data anomalies

• ITU-T Y.2771-2014 Framework for deep packet inspection

IT-UNI, Detect data anomalies

• UNI 7617-P1-1976
• UNI 7617-P8-1976
• UNI 7617-P10-1976
• UNI 7617-P2-1976

Military Standard of the People's Republic of China-General Armament Department, Detect data anomalies

• GJB 8680-2015 Calibration procedures for dielectric constant tester for solid explosives

Shanxi Provincial Standard of the People's Republic of China, Detect data anomalies

• DB1404/T 5-2021 Electronic data management requirements for inspection and testing institutions

SAE - SAE International, Detect data anomalies

• SAE J1567-1994 COLLISION DETECTION SERIAL DATA COMMUNICATIONS MUL
• SAE J1567-1987 COLLISION DETECTION SERIAL DATA COMMUNICATIONS MUL

Jiangsu Provincial Standard of the People's Republic of China, Detect data anomalies

• DB3213/T 1019-2020 Metrology testing data and interaction specification

National Metrological Verification Regulations of the People's Republic of China, Detect data anomalies

• JJG(邮电) 025-1994 Specification for verification of data line testers

Professional Standard - Earthquake, Detect data anomalies

• DB/T 83-2020 Active fault detection database detection

国家密码管理局, Detect data anomalies

• GM/T 0046-2016 Financial data encryption machine testing specifications

Sichuan Provincial Standard of the People's Republic of China, Detect data anomalies

• DB5101/T 1-2018 Chengdu food inspection and testing data exchange specification

Professional Standard - Medicine, Detect data anomalies

• YY/T 1224-2014 Detection kit for analysis of related chromosome and gene abnormalities in bladder cancer (Fluorescent in situ hybridization)

American Gear Manufacturers Association, Detect data anomalies

• AGMA 95FTM2-1995 Separation of Runout from Elemental Inspection Data

AGMA - American Gear Manufacturers Association, Detect data anomalies

• 95FTM2-1995 Separation of Runout from Elemental Inspection Data

Guizhou Provincial Standard of the People's Republic of China, Detect data anomalies

• DB52/T 1597-2021 Metrology detection metadata and interaction specification

Fujian Provincial Standard of the People's Republic of China, Detect data anomalies

• DB35/T 2084-2022 Special equipment inspection and testing data transmission interface requirements

Others:   Test data, Outlier Curve Detection, Test data, data detection, Abnormal water flow detection, Sound Anomaly Detection, Abnormal sound detection, Abnormal sound detection, Outlier Detection, Abnormal online monitoring data, Online Data Abnormal Data, Curve Anomaly Detection, Device Anomaly Detection, Abnormal sequencing data, Radar Device Anomaly Detection, Abnormal monitoring data, Detect data anomalies, Find unusual data, Signal Anomaly Detection, Data anomaly analysis.