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Data Quality Concepts Methodologies by Batini Carlo (18 results)
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Condition: Good. . . All orders guaranteed and ship within 24 hours. Before placing your order for please contact us for confirmation on the book's binding. Check out our other listings to add to your order for discounted shipping.
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Data Quality : Concepts, Methodologies and Techniques
Published by Springer Berlin / Heidelberg, 2006
ISBN 10: 3540331727 ISBN 13: 9783540331728
Language: English
Seller: Better World Books Ltd, Dunfermline, United Kingdom
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Add to basketCondition: Very Good. Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
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Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)
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Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)
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Add to basketPaperback. Condition: Brand New. 262 pages. 9.00x6.00x0.64 inches. In Stock.
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Data Quality : Concepts, Methodologies and Techniques
Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2006
ISBN 10: 3540331727 ISBN 13: 9783540331728
Language: English
US$ 175.38
Convert currencyUS$ 73.66 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketBuch. Condition: Neu. Neuware - Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the 'Data Quality Act' in the USA and the 'European 2003/98' directive of the European Parliament.Batini and Scannapieco present a comprehensive and systematic introduction to the wide set of issues related to data quality. They start with a detailed description of different data quality dimensions, like accuracy, completeness, and consistency, and their importance in different types of data, like federated data, web data, or time-dependent data, and in different data categories classified according to frequency of change, like stable, long-term, and frequently changing data. The book's extensive description of techniques and methodologies from core data quality research as well as from related fields like data mining, probability theory, statistical data analysis, and machine learning gives an excellent overview of the current state of the art. The presentation is completed by a short description and critical comparison of tools and practical methodologies, which will help readers to resolve their own quality problems.This book is an ideal combination of the soundness of theoretical foundations and the applicability of practical approaches. It is ideally suited for everyone - researchers, students, or professionals - interested in a comprehensive overview of data quality issues. In addition, it will serve as the basis for an introductory course or for self-study on this topic.
