Introduction to Data Quality; Data Quality Dimensions; Models for Data Quality; Activities and Techniques for Data Quality: Generalities; Object Identification; Data Quality Issues in Data Integration Systems; Methodologies for Data Quality Measurement and Improvement; Tools for Data Quality; Open Problems
Summary
Presents a comprehensive introduction to the array of issues related to data quality. Beginning with a description of the parameters of data quality, this text describes 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
Bibliography
Includes bibliographical references (pages 237-248) and index
Notes
English
Description based upon online resource; title from PDF title page (viewed February 14th, 2024)