Metadata Management in Statistical Information Processing: A Unified Framework for Metadata-Based Processing of Statistical Data Aggregates
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.
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Metadata Management in Statistical Information Processing: A Unified Framework for Metadata-Based Processing of Statistical Data Aggregates
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.
54.99 In Stock
Metadata Management in Statistical Information Processing: A Unified Framework for Metadata-Based Processing of Statistical Data Aggregates

Metadata Management in Statistical Information Processing: A Unified Framework for Metadata-Based Processing of Statistical Data Aggregates

by Karl A. Froeschl
Metadata Management in Statistical Information Processing: A Unified Framework for Metadata-Based Processing of Statistical Data Aggregates

Metadata Management in Statistical Information Processing: A Unified Framework for Metadata-Based Processing of Statistical Data Aggregates

by Karl A. Froeschl

Paperback

$54.99 
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Overview

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.

Product Details

ISBN-13: 9783211829875
Publisher: Springer Vienna
Publication date: 04/10/1997
Series: Archives of Virology.
Pages: 537
Product dimensions: 6.69(w) x 9.61(h) x (d)
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