书目名称 | Data Quality Management in the Data Age |
副标题 | Excellence in Data Q |
编辑 | Haiyan Yu |
视频video | |
概述 | Contains 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 |
丛书名称 | SpringerBriefs in Service Science |
图书封面 |  |
描述 | .This book addresses data quality management for data markets, including foundational quality issues in modern data science. By clarifying the concept of data quality, its impact on real-world applications, and the challenges stemming from poor data quality, it will equip data scientists and engineers with advanced skills in data quality management, with a particular focus on applications within data markets. This will help them create an environment that encourages potential data sellers with high-quality data to join the market, ultimately leading to an improvement in overall data quality...High-quality data, as a novel factor of production, has assumed a pivotal role in driving digital economic development. The acquisition of such data is particularly important for contemporary decision-making models. Data markets facilitate the procurement of high-quality data and thereby enhance the data supply. Consequently, potential data sellers with high-quality data are incentivized to enter the market, an aspect that is particularly relevant in data-scarce domains such as personalized medicine and services...Data scientists have a pivotal role to play in both the intellectual vitality an |
出版日期 | Book 2024 |
关键词 | Quality management; Data science; Personalized service; Decision-making; Data markets; Data quality; Ghost |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-031-71871-7 |
isbn_softcover | 978-3-031-71870-0 |
isbn_ebook | 978-3-031-71871-7Series ISSN 2731-3743 Series E-ISSN 2731-3751 |
issn_series | 2731-3743 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |