Can I read Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications) on EtoBox?

Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications) by Carlo Batini, Monica Scannapieca (auth.) is a nonfiction available to read on EtoBox.

What is Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications) about?

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

Who reads Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)?

Author

Carlo Batini, Monica Scannapieca (auth.)

Publisher

Springer-Verlag Berlin Heidelberg

Published

2006

Language

EN

ISBN

9786610716838

Category

nonfiction

Subjects

Computer Science, Management, Business