Data quality has already been an issue even before databases were invented. Despite the absence of a clear definition, it is widely agreed that data quality is of major importance especially in scientific applications. It is all the more surprising how little research has been done in the area of data quality. We present a Data Quality Analysis Toolkit which is capable of measuring and visualising data quality. A variety of different charts and tables support the user in judging in what area urgent action is needed. Furthermore, the toolkit provides tools to drill down on the data quality issues and identify individual problems in the data. In this master thesis we apply our concept of data quality analysis to the FoodCASE database, which is the Swiss food composition database managed by the Swiss Food Information Resource (SwissFIR) of the ETH Zurich and the Federal Office of Public Health.
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Data quality has already been an issue even before databases were invented. Despite the absence of a clear definition, it is widely agreed that data quality is of major importance especially in scientific applications. It is all the more surprising how little research has been done in the area of data quality. We present a Data Quality Analysis Toolkit which is capable of measuring and visualising data quality. A variety of different charts and tables support the user in judging in what area urgent action is needed. Furthermore, the toolkit provides tools to drill down on the data quality issues and identify individual problems in the data. In this master thesis we apply our concept of data quality analysis to the FoodCASE database, which is the Swiss food composition database managed by the Swiss Food Information Resource (SwissFIR) of the ETH Zurich and the Federal Office of Public Health.
Reto Mock has been working as a Java and C# software engineer since 2001. From 2006-2011 he studied computer science with a focus on information systems at the Swiss Federal Institute of Technology (ETH) Zurich.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data quality has already been an issue even before databases were invented. Despite the absence of a clear definition, it is widely agreed that data quality is of major importance especially in scientific applications. It is all the more surprising how little research has been done in the area of data quality. We present a Data Quality Analysis Toolkit which is capable of measuring and visualising data quality. A variety of different charts and tables support the user in judging in what area urgent action is needed. Furthermore, the toolkit provides tools to drill down on the data quality issues and identify individual problems in the data. In this master thesis we apply our concept of data quality analysis to the FoodCASE database, which is the Swiss food composition database managed by the Swiss Food Information Resource (SwissFIR) of the ETH Zurich and the Federal Office of Public Health. 112 pp. Englisch. N° de réf. du vendeur 9783639399455
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mock RetoReto Mock has been working as a Java and C# software engineer since 2001. From 2006-2011 he studied computer science with a focus on information systems at the Swiss Federal Institute of Technology (ETH) Zurich.Data qual. N° de réf. du vendeur 4984171
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data quality has already been an issue even before databases were invented. Despite the absence of a clear definition, it is widely agreed that data quality is of major importance especially in scientific applications. It is all the more surprising how little research has been done in the area of data quality. We present a Data Quality Analysis Toolkit which is capable of measuring and visualising data quality. A variety of different charts and tables support the user in judging in what area urgent action is needed. Furthermore, the toolkit provides tools to drill down on the data quality issues and identify individual problems in the data. In this master thesis we apply our concept of data quality analysis to the FoodCASE database, which is the Swiss food composition database managed by the Swiss Food Information Resource (SwissFIR) of the ETH Zurich and the Federal Office of Public Health.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 112 pp. Englisch. N° de réf. du vendeur 9783639399455
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data quality has already been an issue even before databases were invented. Despite the absence of a clear definition, it is widely agreed that data quality is of major importance especially in scientific applications. It is all the more surprising how little research has been done in the area of data quality. We present a Data Quality Analysis Toolkit which is capable of measuring and visualising data quality. A variety of different charts and tables support the user in judging in what area urgent action is needed. Furthermore, the toolkit provides tools to drill down on the data quality issues and identify individual problems in the data. In this master thesis we apply our concept of data quality analysis to the FoodCASE database, which is the Swiss food composition database managed by the Swiss Food Information Resource (SwissFIR) of the ETH Zurich and the Federal Office of Public Health. N° de réf. du vendeur 9783639399455
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Taschenbuch. Etat : Neu. Data Quality Analysis for Food Composition Databases | A Toolkit for Measuring and Visualising Data Quality | Reto Mock | Taschenbuch | 112 S. | Englisch | 2015 | AV Akademikerverlag | EAN 9783639399455 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 106481621
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