By Carlo Batini,Monica Scannapieco
This publication presents a scientific and comparative description of the monstrous variety of study matters concerning the standard of knowledge and knowledge. It does so by way of providing a legitimate, built-in and finished overview of the state-of-the-art and destiny improvement of knowledge and data caliber in databases and knowledge systems.
To this finish, it offers an in depth description of the recommendations that represent the middle of knowledge and knowledge caliber examine, together with list linkage (also known as item identification), facts integration, mistakes localization and correction, and examines the comparable recommendations in a accomplished and unique methodological framework. caliber measurement definitions and followed versions also are analyzed intimately, and modifications among the proposed strategies are highlighted and mentioned. moreover, whereas systematically describing facts and knowledge caliber as an self reliant learn region, paradigms and affects deriving from different components, similar to chance thought, statistical facts research, information mining, wisdom illustration, and desktop studying also are incorporated. final no longer least, the booklet additionally highlights very functional strategies, corresponding to methodologies, benchmarks for the best innovations, case reports, and examples.
The e-book has been written basically for researchers within the fields of databases and data administration or in natural sciences who're drawn to investigating homes of information and data that experience an effect at the caliber of experiments, tactics and on actual lifestyles. the fabric offered is additionally sufficiently self-contained for masters or PhD-level classes, and it covers the entire basics and issues with out the necessity for different textbooks. facts and knowledge method directors and practitioners, who take care of structures uncovered to data-quality concerns and for that reason want a systematization of the sector and sensible equipment within the sector, also will enjoy the blend of concrete functional ways with sound theoretical formalisms.
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Extra info for Data and Information Quality: Dimensions, Principles and Techniques (Data-Centric Systems and Applications)
Data and Information Quality: Dimensions, Principles and Techniques (Data-Centric Systems and Applications) by Carlo Batini,Monica Scannapieco