Data and Information Quality: Dimensions, Principles and Techniques
Springer | Data-Centric Systems | April 24, 2016 | ISBN-10: 3319241044 | 500 pages | pdf | 13.89 mb
Authors: Batini, Carlo, Scannapieco, Monica
Presents an extensive description of the techniques that constitute the core of data and information quality research
Combines concrete practical solutions, such as methodologies, benchmarks, and case studies with sound theoretical formalisms
Includes also necessary foundations from probability theory, statistical data analysis, and machine learning