Artificial intelligence. Data quality for analytics and machine learning. Part 3. Data quality management requirements and guidelines

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Artificial intelligence. Data quality for analytics and machine learning. Part 4. Data quality process framework

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Optics and photonics. Optical crystals. Method for determining chemical stability

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Pneumatic cylinders of cargo car unloading systems (devices). General technical conditions

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Data quality. Part 61. Data quality management. Process reference model

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Digital industry. Industrial data quality. Part 64. Data quality management. Organizational process maturity assessment. Application of the test process improvement method

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Digital industry. Industrial data quality. Part 66. Data quality management. Assessment indicators for data processing in manufacturing operations

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Data quality. Part 115. Master data. Exchange of quality identifiers. Syntactic, semantic and resolution requirements

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Digital industry. Data quality. Part 62. Data quality management. Organizational process maturity assessment. Application of standards relating to process assessment

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Digital industry. Data quality. Part 63. Data quality management. Process measurement

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