Isbn: 9783211829875 - metadata management in statistical information processing: a unified framework for metadata-based processing of statistical data aggregates (springer computer science) (7 Ergebnisse)

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - As the integration of statistical data collected in various subject matter domains becomes more and more important in several socio-economic etc. investigation areas the management of so-called metadata - a formal digital processing of information about data - gains tremendously increasing relevance. Unlike current information technologies (e.g., database systems, computer networks, .) facilitating merely the technical side of data collation, a coherent integration of empirical data still remains cumbersome, and thus rather costly, very often because of a lack of powerful semantic data models capturing the very meaning and structure of statistical data sets. Recognizing this deficiency, 'Metadata Management' proposes a general framework for the computer-aided integration and harmonization of distributed heterogeneous statistical data sources, aiming at a truly comprehensive statistical meta-information system.…

Zustand: New.

Paperback. Zustand: Brand New. illustrated edition. 537 pages. 9.75x6.75x1.00 inches. In Stock.

paperback. Zustand: Befriedigend. Seiten; 9783211829875.4 Gewicht in Gramm: 500.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 556 | Sprache: Englisch | Produktart: Bücher | As the integration of statistical data collected in various subject matter domains becomes more and more important in several socio-economic etc. investigation areas the management of so-called metadata ¿ a formal digital processing of information about data ¿ gains tremendously increasing relevance. Unlike current information technologies (e.g., database systems, computer networks, .) facilitating merely the technical side of data collation, a coherent integration of empirical data still remains cumbersome, and thus rather costly, very often because of a lack of powerful semantic data models capturing the very meaning and structure of statistical data sets. Recognizing this deficiency, "Metadata Management" proposes a general framework for the computer-aided integration and harmonization of distributed heterogeneous statistical data sources, aiming at a truly comprehensive statistical meta-information system.…