Titlebook: Data Quality Management in the Data Age; Excellence in Data Q Haiyan Yu Book 2024 The Editor(s) (if applicable) and The Author(s), under ex

欺騙手段

錯(cuò)事

Haiyan YuContains numerous tutorials designed to enhance readers‘ understanding.Introduces seven methods of experimental design.Includes one dedicated chapter on managing Ghost data, preparing readers to colle

Noctambulant

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CT-angiography

慟哭

ologies, data quality control continues to face novel challenges within the domain of data science. This chapter delves into the subject of data science, addressing the issues associated with low-quality data, the requirements and expectations for data quality, and the role of data quality in statis

厭食癥

星球的光亮度

https://doi.org/10.1007/978-3-663-20180-9ata quality by comparing actual conditions against established requirements and reporting the findings to management. In this chapter, we elaborate on the concept of total data quality management, data quality control plans, and associated tools.

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