Information Theory

Get Data and Information Quality: Dimensions, Principles and PDF

By Carlo Batini, Monica Scannapieco

ISBN-10: 3319241044

ISBN-13: 9783319241043

ISBN-10: 3319241060

ISBN-13: 9783319241067

This ebook presents a scientific and comparative description of the significant variety of study matters relating to the standard of information and knowledge. It does so via providing a valid, built-in and complete evaluation of the state-of-the-art and destiny improvement of knowledge and knowledge caliber in databases and data systems.

To this finish, it provides an in depth description of the strategies that represent the center of knowledge and knowledge caliber learn, together with checklist linkage (also referred to as item identification), info integration, errors localization and correction, and examines the similar recommendations in a entire and unique methodological framework. caliber size definitions and followed versions also are analyzed intimately, and transformations among the proposed suggestions are highlighted and mentioned. additionally, whereas systematically describing information and knowledge caliber as an independent study region, paradigms and impacts deriving from different parts, similar to likelihood idea, statistical facts research, facts mining, wisdom illustration, and desktop studying also are incorporated. final no longer least, the publication additionally highlights very useful suggestions, resembling methodologies, benchmarks for the simplest ideas, case reviews, and examples.

The booklet has been written essentially for researchers within the fields of databases and data administration or in traditional sciences who're attracted to investigating houses of knowledge and data that experience an impression at the caliber of experiments, approaches and on actual existence. the fabric provided is usually sufficiently self-contained for masters or PhD-level classes, and it covers all of the basics and themes with out the necessity for different textbooks. information and knowledge process directors and practitioners, who care for structures uncovered to data-quality matters and accordingly desire a systematization of the sector and useful equipment within the sector, also will enjoy the blend of concrete useful ways with sound theoretical formalisms.

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Extra resources for Data and Information Quality: Dimensions, Principles and Techniques

Example text

2. Research issues in IQ originate from research paradigms initially developed in other areas of research. The relationship between information quality and these related research areas will be discussed in Sect. 3. 1 Wikipedia definition Architecture. org/wiki/Cloud_computing# Research issues Application Domains EGov Methodologies 1 Introduction to Information Quality Dimensions 12 Models Measurement/Improvement Techniques Measurement/Improvement Toolsand Frameworks Life Sciences Web Data Health Care … Fig.

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 [162]) 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.

2 Life Sciences Life sciences information and specifically biological information are characterized by a diversity of information types, very large volumes, and highly variable quality. Data are available through vastly disparate sources and disconnected repositories. Their quality is difficult to assess and often unacceptable for the required usage. Biologists typically search several sources for good-quality information, for instance, in order to perform reliable in silico experiments. However, the effort to actually assess the quality level of such information is entirely in the hands of the biologists; they have to manually analyze disparate sources, trying to integrate and reconcile heterogeneous and contradictory information in order to identify the best information.

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


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