得体
发表于 2025-3-28 16:51:11
Data Glitches: Monsters in Your Dataase in the number and complexity of data quality problems. Data glitches, a common name for data quality problems, can be simple and stand alone, or highly complex with spatial and temporal correlations. In this chapter, we provide an overview of a comprehensive and measurable data quality process.
消耗
发表于 2025-3-28 19:04:50
Generic and Declarative Approaches to Data Quality Management been applicable to specific problems and domains. In the last few years we have seen the emergence of more generic solutions, and also of declarative and rule-based specifications of the intended solutions of data cleaning processes. In this chapter we review some of those recent developments.
overhaul
发表于 2025-3-29 01:03:43
Linking Records in Complex Context etc. In this chapter, we focus on techniques that enable record linkage in so-called complex context, which includes data sets with hierarchial relations, data sets that contain temporal information, and data sets that are extracted from the Web. For each method, we describe the problem to be solve
缓和
发表于 2025-3-29 03:45:31
A Practical Guide to Entity Resolution with OYSTERand support master data management programs. The chapter is organized into two main parts. The first part discusses the components of ER with particular emphasis approximate matching algorithms and the activities that comprise identity information management. The second part provides a step-by-step
Barrister
发表于 2025-3-29 10:49:33
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摘要记录
发表于 2025-3-29 13:48:32
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委屈
发表于 2025-3-29 16:55:10
Ensuring the Quality of Health Information: The Canadian Experience highlights the Canadian experience in the capture and use of health information including a brief introduction to the Canadian health care system and the Canadian Institute for Health Information (CIHI); an overview of CIHI strategies and programs that support quality health information for key sta
arthroscopy
发表于 2025-3-29 21:19:02
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Prostaglandins
发表于 2025-3-30 01:51:53
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启发
发表于 2025-3-30 05:04:09
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