標題: 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 [打印本頁] 作者: 呻吟 時間: 2025-3-21 17:02
書目名稱Data Quality Management in the Data Age影響因子(影響力)
書目名稱Data Quality Management in the Data Age影響因子(影響力)學(xué)科排名
書目名稱Data Quality Management in the Data Age網(wǎng)絡(luò)公開度
書目名稱Data Quality Management in the Data Age網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Quality Management in the Data Age被引頻次
書目名稱Data Quality Management in the Data Age被引頻次學(xué)科排名
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書目名稱Data Quality Management in the Data Age年度引用學(xué)科排名
書目名稱Data Quality Management in the Data Age讀者反饋
書目名稱Data Quality Management in the Data Age讀者反饋學(xué)科排名
作者: 充滿人 時間: 2025-3-21 20:38 作者: catagen 時間: 2025-3-22 01:09 作者: gout109 時間: 2025-3-22 07:24
Tools of Data Quality Management,ata 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.作者: sphincter 時間: 2025-3-22 12:29 作者: 1分開 時間: 2025-3-22 13:12
High-Quality Data Collection in Data Markets,al data sellers are incentivized and are expected to enter the market. A significant challenge for data buyers in these markets is the selection of the most valuable data points from a data seller. It is imperative to control data quality to ensure that the service offerings meet the user’s requirem作者: 1分開 時間: 2025-3-22 20:04
Ghost Data in Data Quality Management,stitutes a persistent challenge for data scientists. This chapter introduces the concept of ghost data within the domains of statistics, computer science, and economics. Furthermore, we will delve into the intricacies of procuring high-quality data, which encompasses a multitude of stages, including作者: 小卷發(fā) 時間: 2025-3-22 23:57
Introduction of Data Quality Management,ta sellers. It is essential to manage data quality effectively to ensure that the service offerings align with the user’s needs and expectations. This chapter offers a concise introduction to data quality management, its evolution, associated concepts, and the influence of data quality on data markets.作者: CHARM 時間: 2025-3-23 05:20
Pillars of Data Quality Management,m data sellers. Consequently, it is imperative to control data quality to ensure that service offerings meet the user’s requirements. This chapter delineates the pillars of data quality management, encompassing the dimensions of data quality, metrics, assessment, and analysis.作者: EXULT 時間: 2025-3-23 06:34 作者: ostensible 時間: 2025-3-23 12:44 作者: 出處 時間: 2025-3-23 15:36 作者: 不遵守 時間: 2025-3-23 20:14 作者: 高興一回 時間: 2025-3-23 22:55
Sandra Matth?us M.A.,Daniel Kubiak M.A.ta sellers. It is essential to manage data quality effectively to ensure that the service offerings align with the user’s needs and expectations. This chapter offers a concise introduction to data quality management, its evolution, associated concepts, and the influence of data quality on data markets.作者: tic-douloureux 時間: 2025-3-24 02:58
https://doi.org/10.1007/978-94-015-0595-6m data sellers. Consequently, it is imperative to control data quality to ensure that service offerings meet the user’s requirements. This chapter delineates the pillars of data quality management, encompassing the dimensions of data quality, metrics, assessment, and analysis.作者: Anterior 時間: 2025-3-24 07:07
ata points from a data seller. Experimental designs frequently inform the data selection process. This chapter delineates the representative methods of experimental designs and explores their recent advancements.作者: DUST 時間: 2025-3-24 12:19
https://doi.org/10.1007/3-7643-7681-3nce, and economics. Furthermore, we will delve into the intricacies of procuring high-quality data, which encompasses a multitude of stages, including data collection, annotation, purification, de-identification, aggregation, and analysis.作者: 付出 時間: 2025-3-24 15:45 作者: magenta 時間: 2025-3-24 22:10 作者: FLING 時間: 2025-3-25 01:33 作者: 欺騙手段 時間: 2025-3-25 04:44 作者: 錯事 時間: 2025-3-25 07:53
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作者: Noctambulant 時間: 2025-3-25 11:47
SpringerBriefs in Service Sciencehttp://image.papertrans.cn/e/image/284446.jpg作者: heirloom 時間: 2025-3-25 16:41 作者: DEMN 時間: 2025-3-25 22:05 作者: CT-angiography 時間: 2025-3-26 03:34 作者: 慟哭 時間: 2025-3-26 08:22
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作者: 厭食癥 時間: 2025-3-26 09:20 作者: 星球的光亮度 時間: 2025-3-26 14:05
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.作者: 單挑 時間: 2025-3-26 19:21 作者: Disk199 時間: 2025-3-27 00:53 作者: 預(yù)示 時間: 2025-3-27 02:04
https://doi.org/10.1007/3-7643-7681-3stitutes a persistent challenge for data scientists. This chapter introduces the concept of ghost data within the domains of statistics, computer science, and economics. Furthermore, we will delve into the intricacies of procuring high-quality data, which encompasses a multitude of stages, including作者: MEN 時間: 2025-3-27 07:10
Data Quality Management in the Data Age978-3-031-71871-7Series ISSN 2731-3743 Series E-ISSN 2731-3751 作者: exhilaration 時間: 2025-3-27 09:50
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 statistics and data science.作者: 階層 時間: 2025-3-27 16:55
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.作者: constitute 時間: 2025-3-27 20:26 作者: 稱贊 時間: 2025-3-28 01:44
Tools of Data Quality Management,ata 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.作者: ETHER 時間: 2025-3-28 04:19
Book 2024 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作者: 加強防衛(wèi) 時間: 2025-3-28 08:12
2731-3743 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 an978-3-031-71870-0978-3-031-71871-7Series ISSN 2731-3743 Series E-ISSN 2731-3751 作者: 字謎游戲 時間: 2025-3-28 14:23
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