Book Details


Data Quality

Publish Date: 2006

ISBN: 978-3-540-33173-5

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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.

Subject: Computer Science, Data Accuracy, Data Availability, Data Completeness, Data Consistency, Data Integration, Data Quality, Distributed Data Management, data mining, learning, organization