By Carlo Batini, Monica Scannapieco
This ebook offers a scientific and comparative description of the huge variety of learn matters on the topic of the standard of knowledge and data. It does so by way of providing a valid, built-in and entire evaluation of the cutting-edge and destiny improvement of information and knowledge caliber in databases and knowledge systems.
To this finish, it offers an in depth description of the recommendations that represent the center of information and data caliber examine, together with list linkage (also known as item identification), facts integration, mistakes localization and correction, and examines the comparable recommendations in a finished and unique methodological framework. caliber measurement definitions and followed types also are analyzed intimately, and transformations among the proposed strategies are highlighted and mentioned. in addition, whereas systematically describing information and knowledge caliber as an independent learn region, paradigms and impacts deriving from different components, equivalent to chance idea, statistical info research, facts mining, wisdom illustration, and computing device studying also are incorporated. final no longer least, the booklet additionally highlights very functional ideas, similar to methodologies, benchmarks for the best options, case stories, and examples.
The publication has been written essentially for researchers within the fields of databases and knowledge administration or in ordinary sciences who're attracted to investigating houses of knowledge and data that experience an effect at the caliber of experiments, approaches and on actual lifestyles. the cloth provided can also be sufficiently self-contained for masters or PhD-level classes, and it covers all of the basics and issues with no the necessity for different textbooks. information and knowledge approach directors and practitioners, who take care of platforms uncovered to data-quality matters and consequently desire a systematization of the sector and functional tools within the zone, also will enjoy the mixture of concrete functional techniques with sound theoretical formalisms.
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Additional resources for Data and Information Quality: Dimensions, Principles and Techniques
A distributed information system relaxes the rigid centralization of monolithic systems, in that it allows the distribution of resources and applications across a network of geographically distributed systems. The network can be organized in terms of several tiers, each made of one or more computational nodes. Presentation, application logic, and data management are distributed across tiers. The different tiers and nodes have a limited degree of autonomy; data design is usually performed centrally, but to a certain extent, some degree of heterogeneity can occur, due to the impossibility of establishing unified procedures.
Similarly, the duplicate delivery of automatically generated mails is often indicative of a database record duplication error. Information quality seriously impacts on the efficiency and effectiveness of organizations and businesses. The report on information quality of the Data Warehousing Institute (see ) estimates that IQ problems cost US businesses more than 600 billion dollars a year. The findings of the report were based on interviews with industry experts, leading-edge customers, and survey data from 647 respondents.
So, there is a particular yet relevant type of data accuracy that refers to the rapidity with which the change in real-world phenomenon is reflected in the update of the data value; we call temporal accuracy such type of accuracy, in contrast to structural accuracy (or, simply, accuracy), that characterizes the accuracy of data as observed in a specific time frame, where the data value can be considered as stable and unchanged. In the following, we will consider first structural accuracy and later temporal accuracy.