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Titlebook: Data Quality; Richard Y. Wang,Mostapha Ziad,Yang W. Lee Book 2002 Springer Science+Business Media New York 2002 Data Warehouse.Information

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发表于 2025-3-21 19:56:16 | 显示全部楼层 |阅读模式
书目名称Data Quality
编辑Richard Y. Wang,Mostapha Ziad,Yang W. Lee
视频video
丛书名称Advances in Database Systems
图书封面Titlebook: Data Quality;  Richard Y. Wang,Mostapha Ziad,Yang W. Lee Book 2002 Springer Science+Business Media New York 2002 Data Warehouse.Information
描述.Data Quality. provides an exposé of research andpractice in the data quality field for technically oriented readers.It is based on the research conducted at the MIT Total Data QualityManagement (TDQM) program and work from other leading researchinstitutions. This book is intended primarily for researchers,practitioners, educators and graduate students in the fields ofComputer Science, Information Technology, and other interdisciplinaryareas. It forms a theoretical foundation that is both rigorous andrelevant for dealing with advanced issues related to data quality.Written with the goal to provide an overview of the cumulated researchresults from the MIT TDQM research perspective as it relates todatabase research, this book is an excellent introduction to Ph.D. whowish to further pursue their research in the data quality area. It isalso an excellent theoretical introduction to IT professionals whowish to gain insight into theoretical results in thetechnically-oriented data quality area, and apply some of the keyconcepts to their practice.
出版日期Book 2002
关键词Data Warehouse; Information Technology (IT); algebra; computer; computer science; database; information; ma
版次1
doihttps://doi.org/10.1007/b116303
isbn_softcover978-1-4757-7413-9
isbn_ebook978-0-306-46987-9Series ISSN 1386-2944
issn_series 1386-2944
copyrightSpringer Science+Business Media New York 2002
The information of publication is updating

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Comparative Vocational Education Researchn the Gregorian calendar. Russia, however, still used the ancient Julian calendar, which lagged 10 days behind. The calendar difference allowed Napoleon to surround Austrian General Mack‘s army at Ulm and force its surrender on Oct. 21, well before the Russian forces could reach him, ultimately setting the stage for Austerlitz.
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https://doi.org/10.1007/978-1-349-24791-2atching process and reduces its high complexity. In addition the human intervention is limited to a minimum. Our solution also indicates that great improvements can be made towards the automation of the knowledge acquisition phase for the similarity searching procedure, by combining all these techniques into a single framework.
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The MIT Context Interchange Project,n the Gregorian calendar. Russia, however, still used the ancient Julian calendar, which lagged 10 days behind. The calendar difference allowed Napoleon to surround Austrian General Mack‘s army at Ulm and force its surrender on Oct. 21, well before the Russian forces could reach him, ultimately setting the stage for Austerlitz.
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The Purdue University Data Quality Project,atching process and reduces its high complexity. In addition the human intervention is limited to a minimum. Our solution also indicates that great improvements can be made towards the automation of the knowledge acquisition phase for the similarity searching procedure, by combining all these techniques into a single framework.
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F. Gasthuys,A. De Moor,C. Van Den Hendeprocessing of quality relations and quality indicator relations through a quality indicator algebra. In addition, it includes a description of its data structure, a set of data integrity constraints for the model, and a quality indicator algebra.
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