Data and Information Quality: Dimensions, Principles and by Carlo Batini,Monica Scannapieco

By Carlo Batini,Monica Scannapieco

This booklet presents a scientific and comparative description of the mammoth variety of examine concerns concerning the standard of information and data. It does so by means of offering a legitimate, built-in and complete  overview of the cutting-edge and destiny improvement of knowledge and data caliber in databases and data systems.

To this finish, it offers an in depth description of the ideas that represent the middle of knowledge and knowledge caliber learn, together with list linkage (also known as item identification), facts integration, errors localization and correction, and examines the similar suggestions in a complete and unique methodological framework. caliber measurement definitions and followed types also are analyzed intimately, and alterations among the proposed recommendations are highlighted and mentioned. in addition, whereas systematically describing info and data caliber as an self sufficient study quarter, paradigms and impacts deriving from different components, resembling likelihood concept, statistical information research, facts mining, wisdom illustration, and computing device studying also are incorporated. final no longer least, the publication additionally highlights very sensible recommendations, equivalent to methodologies, benchmarks for the best suggestions, case stories, and examples.

The publication has been written basically for researchers within the fields of databases and knowledge administration or in  natural sciences who're attracted to investigating homes of information and knowledge that experience an influence at the caliber of experiments, approaches and on genuine existence. the fabric provided is usually sufficiently self-contained for masters or PhD-level classes, and it covers the entire basics and subject matters with no the necessity for different textbooks. info and data process directors and practitioners, who care for platforms uncovered to data-quality concerns and for that reason want a systematization of the sphere and sensible tools within the sector, also will enjoy the mix of concrete functional methods with sound theoretical formalisms.

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