Data Quality

Name: Data Quality
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783540331728
Price: 470.25 PLN
Availability: InStock

Concepts, Methodologies and Techniques

Autor: Carlo Batini, Monica Scannapieco

Język:

Oprawa: Twarda

Wydawca: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Dostępność: Dostępna u dostawcy w małych ilościach

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Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations a...

Informacje o książce

Autor

Carlo Batini, Monica Scannapieco

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2006

strony

262

EAN

9783540331728

ISBN

3540331727

Enbook ID

05273852

Wydawca

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Waga

614

Wymiary

164 x 235 x 24

Pełny opis

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.

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Data Quality

Concepts, Methodologies and Techniques

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